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Simon
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graph-barlow-twins
mirror of https://github.com/pbielak/graph-barlow-twins

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1216 
  1. schema: '2.0'
    2. 

  2. stages:
    3. 

  3.   preprocess_dataset@WikiCS:
    4. 

  4.     cmd: PYTHONPATH=. python3 experiments/scripts/preprocess_dataset.py WikiCS
    5. 

  5.     deps:
    6. 

  6.     - path: experiments/scripts/preprocess_dataset.py
    7. 

  7.       md5: 429a71cf32da15b9a941693b1605bdb9
    8. 

  8.       size: 329
    9. 

  9.     outs:
    10. 

  10.     - path: data/datasets/WikiCS/
    11. 

  11.       md5: 7ef0d1cda1998b72b9ac4338ca7e3c72.dir
    12. 

  12.       size: 102141146
    13. 

  13.       nfiles: 4
    14. 

  14.   preprocess_dataset@Amazon-CS:
    15. 

  15.     cmd: PYTHONPATH=. python3 experiments/scripts/preprocess_dataset.py Amazon-CS
    16. 

  16.     deps:
    17. 

  17.     - path: experiments/scripts/preprocess_dataset.py
    18. 

  18.       md5: 429a71cf32da15b9a941693b1605bdb9
    19. 

  19.       size: 329
    20. 

  20.     outs:
    21. 

  21.     - path: data/datasets/Amazon-CS/
    22. 

  22.       md5: 7f0937cd73da9482ebce6a4f3f70ea5e.dir
    23. 

  23.       size: 82919945
    24. 

  24.       nfiles: 4
    25. 

  25.   preprocess_dataset@Amazon-Photo:
    26. 

  26.     cmd: PYTHONPATH=. python3 experiments/scripts/preprocess_dataset.py Amazon-Photo
    27. 

  27.     deps:
    28. 

  28.     - path: experiments/scripts/preprocess_dataset.py
    29. 

  29.       md5: 429a71cf32da15b9a941693b1605bdb9
    30. 

  30.       size: 329
    31. 

  31.     outs:
    32. 

  32.     - path: data/datasets/Amazon-Photo/
    33. 

  33.       md5: 5f52218ff80611104bb313bd310f4d0d.dir
    34. 

  34.       size: 44246369
    35. 

  35.       nfiles: 4
    36. 

  36.   preprocess_dataset@Coauthor-CS:
    37. 

  37.     cmd: PYTHONPATH=. python3 experiments/scripts/preprocess_dataset.py Coauthor-CS
    38. 

  38.     deps:
    39. 

  39.     - path: experiments/scripts/preprocess_dataset.py
    40. 

  40.       md5: 429a71cf32da15b9a941693b1605bdb9
    41. 

  41.       size: 329
    42. 

  42.     outs:
    43. 

  43.     - path: data/datasets/Coauthor-CS/
    44. 

  44.       md5: de381c7fb631620ea4d2247c513d5754.dir
    45. 

  45.       size: 515731875
    46. 

  46.       nfiles: 4
    47. 

  47.   preprocess_dataset@Coauthor-Physics:
    48. 

  48.     cmd: PYTHONPATH=. python3 experiments/scripts/preprocess_dataset.py Coauthor-Physics
    49. 

  49.     deps:
    50. 

  50.     - path: experiments/scripts/preprocess_dataset.py
    51. 

  51.       md5: 429a71cf32da15b9a941693b1605bdb9
    52. 

  52.       size: 329
    53. 

  53.     outs:
    54. 

  54.     - path: data/datasets/Coauthor-Physics/
    55. 

  55.       md5: 3095b587964b691f75571c1088ab375d.dir
    56. 

  56.       size: 1187693422
    57. 

  57.       nfiles: 4
    58. 

  58.   preprocess_dataset@ogbn-arxiv:
    59. 

  59.     cmd: PYTHONPATH=. python3 experiments/scripts/preprocess_dataset.py ogbn-arxiv
    60. 

  60.     deps:
    61. 

  61.     - path: experiments/scripts/preprocess_dataset.py
    62. 

  62.       md5: 429a71cf32da15b9a941693b1605bdb9
    63. 

  63.       size: 329
    64. 

  64.     outs:
    65. 

  65.     - path: data/datasets/ogbn-arxiv/
    66. 

  66.       md5: a80de10eee83c6819a9bb073c33aa08e.dir
    67. 

  67.       size: 191277877
    68. 

  68.       nfiles: 16
    69. 

  69.   preprocess_dataset@PPI:
    70. 

  70.     cmd: PYTHONPATH=. python3 experiments/scripts/preprocess_dataset.py PPI
    71. 

  71.     deps:
    72. 

  72.     - path: experiments/scripts/preprocess_dataset.py
    73. 

  73.       md5: 429a71cf32da15b9a941693b1605bdb9
    74. 

  74.       size: 329
    75. 

  75.     outs:
    76. 

  76.     - path: data/datasets/PPI/
    77. 

  77.       md5: 218e6533b4e33d1b912caf915e7efbac.dir
    78. 

  78.       size: 201304017
    79. 

  79.       nfiles: 17
    80. 

  80.   preprocess_dataset@ogbn-products:
    81. 

  81.     cmd: PYTHONPATH=. python3 experiments/scripts/preprocess_dataset.py ogbn-products
    82. 

  82.     deps:
    83. 

  83.     - path: experiments/scripts/preprocess_dataset.py
    84. 

  84.       md5: 429a71cf32da15b9a941693b1605bdb9
    85. 

  85.       size: 329
    86. 

  86.     outs:
    87. 

  87.     - path: data/datasets/ogbn-products/
    88. 

  88.       md5: a5c0b54b7780d85213ff00693b66d26b.dir
    89. 

  89.       size: 4464823315
    90. 

  90.       nfiles: 15
    91. 

  91.   compare_running_times:
    92. 

  92.     cmd: PYTHONPATH=. python3 experiments/scripts/time/compare_running_times.py
    93. 

  93.     deps:
    94. 

  94.     - path: experiments/scripts/time/compare_running_times.py
    95. 

  95.       md5: 1f91652f749dfcfc08226f723907604f
    96. 

  96.       size: 16021
    97. 

  97.     outs:
    98. 

  98.     - path: data/time/log.csv
    99. 

  99.       md5: 876e34b8c94c5ac1e4fdc09cbe51a378
    100. 

  100.       size: 6189
    101. 

  101.     - path: data/time/summary_table.txt
    102. 

  102.       md5: a3a7e85aba42b047471a6e6a0584a2e2
    103. 

  103.       size: 831
    104. 

  104.   full_batch_hps@WikiCS:
    105. 

  105.     cmd: PYTHONPATH=. python3 experiments/scripts/full_batch/hps.py WikiCS
    106. 

  106.     deps:
    107. 

  107.     - path: data/datasets/WikiCS/
    108. 

  108.       md5: 7ef0d1cda1998b72b9ac4338ca7e3c72.dir
    109. 

  109.       size: 102141146
    110. 

  110.       nfiles: 4
    111. 

  111.     - path: experiments/scripts/full_batch/hps.py
    112. 

  112.       md5: 1c27cb4b3e3d35e1e7047341ed97f2fe
    113. 

  113.       size: 4820
    114. 

  114.     params:
    115. 

  115.       experiments/configs/full_batch/hps.yaml:
    116. 

  116.         WikiCS:
    117. 

  117.           total_epochs: 500
    118. 

  118.           warmup_epochs: 50
    119. 

  119.           encoder_cls: gssl.full_batch.encoders.TwoLayerGCNEncoder
    120. 

  120.           use_pytorch_eval_model: false
    121. 

  121.           p_x:
    122. 

  122.             min: 0
    123. 

  123.             max: 0.5
    124. 

  124.             step: 0.1
    125. 

  125.           p_e:
    126. 

  126.             min: 0
    127. 

  127.             max: 0.5
    128. 

  128.             step: 0.1
    129. 

  129.           grid_type: ALL
    130. 

  130.           metric: accuracy
    131. 

  131.           emb_dim: 256
    132. 

  132.           lr_base: 0.0005
    133. 

  133.     outs:
    134. 

  134.     - path: data/full_batch/hps/WikiCS/best.json
    135. 

  135.       md5: 7ba719f6f5266c39d53b5a5331ac2320
    136. 

  136.       size: 394
    137. 

  137.     - path: data/full_batch/hps/WikiCS/log.csv
    138. 

  138.       md5: 452d34aef824e1772f6958d20bcfac87
    139. 

  139.       size: 75104
    140. 

  140.   full_batch_hps@Amazon-CS:
    141. 

  141.     cmd: PYTHONPATH=. python3 experiments/scripts/full_batch/hps.py Amazon-CS
    142. 

  142.     deps:
    143. 

  143.     - path: data/datasets/Amazon-CS/
    144. 

  144.       md5: 7f0937cd73da9482ebce6a4f3f70ea5e.dir
    145. 

  145.       size: 82919945
    146. 

  146.       nfiles: 4
    147. 

  147.     - path: experiments/scripts/full_batch/hps.py
    148. 

  148.       md5: 1c27cb4b3e3d35e1e7047341ed97f2fe
    149. 

  149.       size: 4820
    150. 

  150.     params:
    151. 

  151.       experiments/configs/full_batch/hps.yaml:
    152. 

  152.         Amazon-CS:
    153. 

  153.           total_epochs: 500
    154. 

  154.           warmup_epochs: 50
    155. 

  155.           encoder_cls: gssl.full_batch.encoders.TwoLayerGCNEncoder
    156. 

  156.           use_pytorch_eval_model: false
    157. 

  157.           p_x:
    158. 

  158.             min: 0
    159. 

  159.             max: 0.5
    160. 

  160.             step: 0.1
    161. 

  161.           p_e:
    162. 

  162.             min: 0
    163. 

  163.             max: 0.5
    164. 

  164.             step: 0.1
    165. 

  165.           grid_type: ALL
    166. 

  166.           metric: accuracy
    167. 

  167.           emb_dim: 128
    168. 

  168.           lr_base: 0.0005
    169. 

  169.     outs:
    170. 

  170.     - path: data/full_batch/hps/Amazon-CS/best.json
    171. 

  171.       md5: 52994d7e16967c89b3a4a5d5974ef0b5
    172. 

  172.       size: 395
    173. 

  173.     - path: data/full_batch/hps/Amazon-CS/log.csv
    174. 

  174.       md5: 81a54b245203a1084c1790371c248dba
    175. 

  175.       size: 74046
    176. 

  176.   full_batch_hps@Amazon-Photo:
    177. 

  177.     cmd: PYTHONPATH=. python3 experiments/scripts/full_batch/hps.py Amazon-Photo
    178. 

  178.     deps:
    179. 

  179.     - path: data/datasets/Amazon-Photo/
    180. 

  180.       md5: 5f52218ff80611104bb313bd310f4d0d.dir
    181. 

  181.       size: 44246369
    182. 

  182.       nfiles: 4
    183. 

  183.     - path: experiments/scripts/full_batch/hps.py
    184. 

  184.       md5: 1c27cb4b3e3d35e1e7047341ed97f2fe
    185. 

  185.       size: 4820
    186. 

  186.     params:
    187. 

  187.       experiments/configs/full_batch/hps.yaml:
    188. 

  188.         Amazon-Photo:
    189. 

  189.           total_epochs: 500
    190. 

  190.           warmup_epochs: 50
    191. 

  191.           encoder_cls: gssl.full_batch.encoders.TwoLayerGCNEncoder
    192. 

  192.           use_pytorch_eval_model: false
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  193.           p_x:
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  197.           p_e:
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  199.             max: 0.5
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  201.           grid_type: ALL
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  202.           metric: accuracy
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  203.           emb_dim: 256
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  204.           lr_base: 0.0001
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  205.     outs:
    206. 

  206.     - path: data/full_batch/hps/Amazon-Photo/best.json
    207. 

  207.       md5: 9a592b5414e007b3b9551b43b78089a4
    208. 

  208.       size: 411
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  209.     - path: data/full_batch/hps/Amazon-Photo/log.csv
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  210.       md5: 10573d56818bdb0a1170ec7850751d0c
    211. 

  211.       size: 75274
    212. 

  212.   full_batch_hps@Coauthor-CS:
    213. 

  213.     cmd: PYTHONPATH=. python3 experiments/scripts/full_batch/hps.py Coauthor-CS
    214. 

  214.     deps:
    215. 

  215.     - path: data/datasets/Coauthor-CS/
    216. 

  216.       md5: de381c7fb631620ea4d2247c513d5754.dir
    217. 

  217.       size: 515731875
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  218.       nfiles: 4
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  219.     - path: experiments/scripts/full_batch/hps.py
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  220.       md5: 1c27cb4b3e3d35e1e7047341ed97f2fe
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  221.       size: 4820
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  222.     params:
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  223.       experiments/configs/full_batch/hps.yaml:
    224. 

  224.         Coauthor-CS:
    225. 

  225.           total_epochs: 500
    226. 

  226.           warmup_epochs: 50
    227. 

  227.           encoder_cls: gssl.full_batch.encoders.TwoLayerGCNEncoder
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  228.           use_pytorch_eval_model: false
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  234.             min: 0
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  235.             max: 0.5
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  237.           grid_type: ALL
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  238.           metric: accuracy
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  239.           emb_dim: 256
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  240.           lr_base: 1e-05
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  241.     outs:
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  242.     - path: data/full_batch/hps/Coauthor-CS/best.json
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  243.       md5: 16c009113927242d6ca5e47a646bdbeb
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  244.       size: 411
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  245.     - path: data/full_batch/hps/Coauthor-CS/log.csv
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  246.       md5: fc1c2bba21146279e7a56880ae92876d
    247. 

  247.       size: 75514
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  248.   full_batch_hps@Coauthor-Physics:
    249. 

  249.     cmd: PYTHONPATH=. python3 experiments/scripts/full_batch/hps.py Coauthor-Physics
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  250.     deps:
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  251.     - path: data/datasets/Coauthor-Physics/
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  252.       md5: 3095b587964b691f75571c1088ab375d.dir
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  255.     - path: experiments/scripts/full_batch/hps.py
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  256.       md5: 1c27cb4b3e3d35e1e7047341ed97f2fe
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  257.       size: 4820
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  258.     params:
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  259.       experiments/configs/full_batch/hps.yaml:
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  260.         Coauthor-Physics:
    261. 

  261.           total_epochs: 500
    262. 

  262.           warmup_epochs: 50
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  263.           encoder_cls: gssl.full_batch.encoders.TwoLayerGCNEncoder
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  264.           use_pytorch_eval_model: false
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  271.             max: 0.5
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  273.           grid_type: ALL
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  274.           metric: accuracy
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  275.           emb_dim: 128
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  276.           lr_base: 1e-05
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  277.     outs:
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  278.     - path: data/full_batch/hps/Coauthor-Physics/best.json
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  279.       md5: bcf3a61824340b0087d117648e0e0685
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  280.       size: 395
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  281.     - path: data/full_batch/hps/Coauthor-Physics/log.csv
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  282.       md5: 56fac94c371f0a276a14aa5c62978a1e
    283. 

  283.       size: 75296
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  284.   full_batch_hps@ogbn-arxiv:
    285. 

  285.     cmd: PYTHONPATH=. python3 experiments/scripts/full_batch/hps.py ogbn-arxiv
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  286.     deps:
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  287.     - path: data/datasets/ogbn-arxiv/
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  288.       md5: a80de10eee83c6819a9bb073c33aa08e.dir
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  291.     - path: experiments/scripts/full_batch/hps.py
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  292.       md5: 1c27cb4b3e3d35e1e7047341ed97f2fe
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  293.       size: 4820
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  294.     params:
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  295.       experiments/configs/full_batch/hps.yaml:
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  296.         ogbn-arxiv:
    297. 

  297.           total_epochs: 500
    298. 

  298.           warmup_epochs: 50
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  299.           encoder_cls: gssl.full_batch.encoders.ThreeLayerGCNEncoder
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  300.           use_pytorch_eval_model: true
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  305.           p_e:
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  307.             max: 0.5
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  308.             step: 0.1
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  309.           grid_type: ONLY_SAME
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  310.           metric: accuracy
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  311.           emb_dim: 256
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  312.           lr_base: 0.01
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  313.     outs:
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  314.     - path: data/full_batch/hps/ogbn-arxiv/best.json
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  315.       md5: fe114253b6a6a26df1444760cc8c6f58
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  316.       size: 271
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  317.     - path: data/full_batch/hps/ogbn-arxiv/log.csv
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  318.       md5: b3e4ad0bfee7cfbf9ed415360f5ca976
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  319.       size: 3702
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  320.   full_batch_train@Amazon-Photo:
    321. 

  321.     cmd: PYTHONPATH=. python3 experiments/scripts/full_batch/train.py Amazon-Photo
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  322.     deps:
    323. 

  323.     - path: data/datasets/Amazon-Photo/
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  324.       md5: 5f52218ff80611104bb313bd310f4d0d.dir
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  325.       size: 44246369
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  327.     - path: experiments/scripts/full_batch/train.py
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  330.     - path: gssl/full_batch/model.py
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  332.       size: 4999
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  333.     params:
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  334.       data/full_batch/hps/Amazon-Photo/best.json:
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  335.         SAME:
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  336.           accuracy: 0.9297385620915033
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  337.           params:
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  338.             p_x_1: 0.5
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  339.             p_e_1: 0.0
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  340.             p_x_2: 0.5
    341. 

  341.             p_e_2: 0.0
    342. 

  342.       experiments/configs/full_batch/train.yaml:
    343. 

  343.         Amazon-Photo:
    344. 

  344.           total_epochs: 1000
    345. 

  345.           warmup_epochs: 100
    346. 

  346.           log_interval: 100
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  347.           encoder_cls: gssl.full_batch.encoders.TwoLayerGCNEncoder
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  348.           use_pytorch_eval_model: false
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  349.           emb_dim: 256
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  350.           lr_base: 0.0001
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  351.     outs:
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  352.     - path: data/full_batch/train/Amazon-Photo/
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  353.       md5: a9c8fa6a90d44982a0b665755198bf7f.dir
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  354.       size: 1886760053
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  355.       nfiles: 262
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  356.   full_batch_train@WikiCS:
    357. 

  357.     cmd: PYTHONPATH=. python3 experiments/scripts/full_batch/train.py WikiCS
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  358.     deps:
    359. 

  359.     - path: data/datasets/WikiCS/
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  360.       md5: 7ef0d1cda1998b72b9ac4338ca7e3c72.dir
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  361.       size: 102141146
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  363.     - path: experiments/scripts/full_batch/train.py
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  366.     - path: gssl/full_batch/model.py
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  368.       size: 4999
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  369.     params:
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  370.       data/full_batch/hps/WikiCS/best.json:
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  371.         SAME:
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  372.           accuracy: 0.7790319822131008
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  373.           params:
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  375.             p_e_1: 0.2
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  376.             p_x_2: 0.1
    377. 

  377.             p_e_2: 0.2
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  378.       experiments/configs/full_batch/train.yaml:
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  379.         WikiCS:
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  380.           total_epochs: 1000
    381. 

  381.           warmup_epochs: 100
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  382.           log_interval: 100
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  383.           encoder_cls: gssl.full_batch.encoders.TwoLayerGCNEncoder
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  384.           use_pytorch_eval_model: false
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  385.           emb_dim: 256
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  386.           lr_base: 0.0005
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  387.     outs:
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  388.     - path: data/full_batch/train/WikiCS/
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  389.       md5: ef79a3d49629f95b51b9f2c8a7df2ca1.dir
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  390.       size: 2776279668
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  391.       nfiles: 262
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  392.   full_batch_train@Amazon-CS:
    393. 

  393.     cmd: PYTHONPATH=. python3 experiments/scripts/full_batch/train.py Amazon-CS
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  394.     deps:
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  395.     - path: data/datasets/Amazon-CS/
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  396.       md5: 7f0937cd73da9482ebce6a4f3f70ea5e.dir
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  399.     - path: experiments/scripts/full_batch/train.py
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  402.     - path: gssl/full_batch/model.py
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  403.       md5: f417e897aac48d7ae20fc6f0beefd13a
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  404.       size: 4999
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  405.     params:
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  406.       data/full_batch/hps/Amazon-CS/best.json:
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  407.         SAME:
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  408.           accuracy: 0.8823850209052899
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  409.           params:
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  410.             p_x_1: 0.1
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  411.             p_e_1: 0.4
    412. 

  412.             p_x_2: 0.1
    413. 

  413.             p_e_2: 0.4
    414. 

  414.       experiments/configs/full_batch/train.yaml:
    415. 

  415.         Amazon-CS:
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  416.           total_epochs: 1000
    417. 

  417.           warmup_epochs: 100
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  418.           log_interval: 100
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  419.           encoder_cls: gssl.full_batch.encoders.TwoLayerGCNEncoder
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  420.           use_pytorch_eval_model: false
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  421.           emb_dim: 128
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  422.           lr_base: 0.0005
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  423.     outs:
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  424.     - path: data/full_batch/train/Amazon-CS/
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  425.       md5: bef4750e4516719fa0e2bf0d25d40439.dir
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  426.       size: 1650162084
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  427.       nfiles: 262
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  428.   full_batch_train@Coauthor-Physics:
    429. 

  429.     cmd: PYTHONPATH=. python3 experiments/scripts/full_batch/train.py Coauthor-Physics
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  430.     deps:
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  431.     - path: data/datasets/Coauthor-Physics/
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  432.       md5: 3095b587964b691f75571c1088ab375d.dir
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  435.     - path: experiments/scripts/full_batch/train.py
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  436.       md5: 1824ca5bf0b4642b725d5ed5b48bd28a
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  438.     - path: gssl/full_batch/model.py
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  439.       md5: f417e897aac48d7ae20fc6f0beefd13a
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  440.       size: 4999
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  441.     params:
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  442.       data/full_batch/hps/Coauthor-Physics/best.json:
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  443.         SAME:
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  444.           accuracy: 0.9493730521127781
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  445.           params:
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  446.             p_x_1: 0.4
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  447.             p_e_1: 0.1
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  448.             p_x_2: 0.4
    449. 

  449.             p_e_2: 0.1
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  450.       experiments/configs/full_batch/train.yaml:
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  451.         Coauthor-Physics:
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  452.           total_epochs: 1000
    453. 

  453.           warmup_epochs: 100
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  454.           log_interval: 100
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  455.           encoder_cls: gssl.full_batch.encoders.TwoLayerGCNEncoder
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  456.           use_pytorch_eval_model: false
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  457.           emb_dim: 128
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  458.           lr_base: 1e-05
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  459.     outs:
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  460.     - path: data/full_batch/train/Coauthor-Physics/
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  461.       md5: 9610202d0d49ad11d5ef00e6a88b9ad4.dir
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  462.       size: 4473054572
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  463.       nfiles: 262
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  464.   full_batch_train@Coauthor-CS:
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  465.     cmd: PYTHONPATH=. python3 experiments/scripts/full_batch/train.py Coauthor-CS
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  466.     deps:
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  467.     - path: data/datasets/Coauthor-CS/
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  468.       md5: de381c7fb631620ea4d2247c513d5754.dir
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  471.     - path: experiments/scripts/full_batch/train.py
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  472.       md5: 1824ca5bf0b4642b725d5ed5b48bd28a
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  474.     - path: gssl/full_batch/model.py
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  477.     params:
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  478.       data/full_batch/hps/Coauthor-CS/best.json:
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  479.         SAME:
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  480.           accuracy: 0.9335878903586526
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  481.           params:
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  482.             p_x_1: 0.1
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  483.             p_e_1: 0.5
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  484.             p_x_2: 0.1
    485. 

  485.             p_e_2: 0.5
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  486.       experiments/configs/full_batch/train.yaml:
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  487.         Coauthor-CS:
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  488.           total_epochs: 1000
    489. 

  489.           warmup_epochs: 100
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  490.           log_interval: 100
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  491.           encoder_cls: gssl.full_batch.encoders.TwoLayerGCNEncoder
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  492.           use_pytorch_eval_model: false
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  493.           emb_dim: 256
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  494.           lr_base: 1e-05
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  495.     outs:
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  496.     - path: data/full_batch/train/Coauthor-CS/
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  497.       md5: b25076088015701a3654a4d83faf12d2.dir
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  498.       size: 5060771800
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  499.       nfiles: 262
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  500.   full_batch_train@ogbn-arxiv:
    501. 

  501.     cmd: PYTHONPATH=. python3 experiments/scripts/full_batch/train.py ogbn-arxiv
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  502.     deps:
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  503.     - path: data/datasets/ogbn-arxiv/
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  504.       md5: a80de10eee83c6819a9bb073c33aa08e.dir
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  510.     - path: gssl/full_batch/model.py
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  513.     params:
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  514.       data/full_batch/hps/ogbn-arxiv/best.json:
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  515.         SAME:
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  519.             p_e_1: 0.2
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  520.             p_x_2:
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  521.             p_e_2:
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  522.       experiments/configs/full_batch/train.yaml:
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  523.         ogbn-arxiv:
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  524.           total_epochs: 500
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  525.           warmup_epochs: 100
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  526.           log_interval: 100
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  527.           encoder_cls: gssl.full_batch.encoders.ThreeLayerGCNEncoder
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  528.           use_pytorch_eval_model: true
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  529.           emb_dim: 256
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  530.           lr_base: 0.001
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  531.     outs:
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  532.     - path: data/full_batch/train/ogbn-arxiv/
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  534.       size: 20894315852
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  535.       nfiles: 162
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  536.   full_batch_hps@PPI:
    537. 

  537.     cmd: PYTHONPATH=. python3 experiments/scripts/full_batch/hps.py PPI
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  538.     deps:
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  539.     - path: data/datasets/PPI/
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  540.       md5: 218e6533b4e33d1b912caf915e7efbac.dir
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  541.       size: 201304017
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  543.     - path: experiments/scripts/full_batch/hps.py
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  544.       md5: 1c27cb4b3e3d35e1e7047341ed97f2fe
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  545.       size: 4820
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  546.     params:
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  547.       experiments/configs/full_batch/hps.yaml:
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  548.         PPI:
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  549.           total_epochs: 500
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  550.           warmup_epochs: 50
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  551.           encoder_cls: gssl.full_batch.encoders.GATEncoder
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  552.           use_pytorch_eval_model: false
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  553.           p_x:
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  554.             min: 0
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  555.             max: 0.5
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  556.             step: 0.1
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  557.           p_e:
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  558.             min: 0
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  559.             max: 0.5
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  560.             step: 0.1
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  561.           grid_type: ONLY_SAME
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  562.           metric: f1
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  563.           emb_dim: 512
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  564.           lr_base: 0.005
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  565.     outs:
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  566.     - path: data/full_batch/hps/PPI/best.json
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  567.       md5: 6603666dd2639b6385f87e1978d9d3e0
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  568.       size: 259
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  569.     - path: data/full_batch/hps/PPI/log.csv
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  570.       md5: f193adcdb78fff3612f2e1386c1e7092
    571. 

  571.       size: 3698
    572. 

  572.   full_batch_train@PPI:
    573. 

  573.     cmd: PYTHONPATH=. python3 experiments/scripts/full_batch/train.py PPI
    574. 

  574.     deps:
    575. 

  575.     - path: data/datasets/PPI/
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  582.     - path: gssl/full_batch/model.py
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  584.       size: 4999
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  586.       data/full_batch/hps/PPI/best.json:
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  587.         SAME:
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  591.             p_e_1: 0.1
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  592.             p_x_2:
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  593.             p_e_2:
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  594.       experiments/configs/full_batch/train.yaml:
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  595.         PPI:
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  596.           total_epochs: 500
    597. 

  597.           warmup_epochs: 50
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  598.           log_interval: 100
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  599.           encoder_cls: gssl.full_batch.encoders.GATEncoder
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  600.           emb_dim: 512
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  603.     - path: data/full_batch/train/PPI/
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  608.     cmd: PYTHONPATH=. python3 experiments/scripts/compare_augmentation_hyperparameter_sets.py
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  621.   batched_hps_ogbn_products:
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  622.     cmd: PYTHONPATH=. python3 experiments/scripts/batched/hps.py ogbn-products
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  624.     - path: data/datasets/ogbn-products/
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  632.       experiments/configs/batched/hps.yaml:
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  633.         ogbn-products:
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  634.           encoder_cls: gssl.batched.encoders.BatchedGAT
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  635.           batch_sizes:
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  636.           - 512
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  637.           inference_batch_size: 1024
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  638.           use_pytorch_eval_model: true
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  639.           use_train_mask: true
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  653.           lr_base: 0.001
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  655.     - path: data/batched/hps/ogbn-products/best.json
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  661.   train_bgrl_full_batch@WikiCS:
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  662.     cmd: PYTHONPATH=. python3 experiments/scripts/full_batch/train_bgrl.py WikiCS
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  664.     - path: data/datasets/WikiCS/
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  672.       experiments/configs/full_batch/train_bgrl.yaml:
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  673.         WikiCS:
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  674.           total_epochs: 10000
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  675.           warmup_epochs: 1000
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  676.           log_interval: 1000
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  677.           use_pytorch_eval_model: false
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  681.           p_e_2: 0.3
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  682.           lr_base: 0.0005
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  684.           hidden_dim: 512
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  685.           pred_dim: 512
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  690.       nfiles: 7
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  691.   train_bgrl_full_batch@Amazon-Photo:
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  692.     cmd: PYTHONPATH=. python3 experiments/scripts/full_batch/train_bgrl.py Amazon-Photo
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  693.     deps:
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  694.     - path: data/datasets/Amazon-Photo/
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  702.       experiments/configs/full_batch/train_bgrl.yaml:
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  703.         Amazon-Photo:
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  704.           total_epochs: 10000
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  705.           warmup_epochs: 1000
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  706.           log_interval: 1000
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  707.           use_pytorch_eval_model: false
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  711.           p_e_2: 0.1
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  714.           hidden_dim: 512
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  715.           pred_dim: 512
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  716.     outs:
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  717.     - path: data/full_batch/train_bgrl/Amazon-Photo/
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  720.       nfiles: 7
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  721.   train_bgrl_full_batch@Amazon-CS:
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  722.     cmd: PYTHONPATH=. python3 experiments/scripts/full_batch/train_bgrl.py Amazon-CS
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  723.     deps:
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  724.     - path: data/datasets/Amazon-CS/
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  732.       experiments/configs/full_batch/train_bgrl.yaml:
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  733.         Amazon-CS:
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  734.           total_epochs: 10000
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  735.           warmup_epochs: 1000
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  736.           log_interval: 1000
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  741.           p_e_2: 0.4
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  743.           emb_dim: 128
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  744.           hidden_dim: 256
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  745.           pred_dim: 512
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  746.     outs:
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  747.     - path: data/full_batch/train_bgrl/Amazon-CS/
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  751.   batched_train@Amazon-Photo:
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  752.     cmd: PYTHONPATH=. python3 experiments/scripts/batched/train.py Amazon-Photo
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  753.     deps:
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  754.     - path: data/datasets/Amazon-Photo/
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  761.     params:
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  762.       data/full_batch/hps/Amazon-Photo/best.json:
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  763.         SAME:
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  764.           accuracy: 0.9297385620915033
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  765.           params:
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  766.             p_x_1: 0.5
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  767.             p_e_1: 0.0
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  768.             p_x_2: 0.5
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  769.             p_e_2: 0.0
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  770.       experiments/configs/batched/train.yaml:
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  771.         Amazon-Photo:
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  772.           encoder_cls: gssl.batched.encoders.BatchedTwoLayerGCN
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  773.           batch_sizes:
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  774.           - 256
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  775.           - 512
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  776.           - 1024
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  777.           - 2048
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  779.           use_pytorch_eval_model: false
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  780.           use_train_mask: false
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  783.           log_interval: 100
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  784.           num_splits: 20
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  785.           emb_dim: 256
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  786.           lr_base: 0.0001
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  788.     - path: data/batched/train/Amazon-Photo/
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  791.       nfiles: 1048
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  792.   batched_train@WikiCS:
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  793.     cmd: PYTHONPATH=. python3 experiments/scripts/batched/train.py WikiCS
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  795.     - path: data/datasets/WikiCS/
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  802.     params:
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  803.       data/full_batch/hps/WikiCS/best.json:
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  804.         SAME:
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  809.             p_x_2: 0.1
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  810.             p_e_2: 0.2
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  811.       experiments/configs/batched/train.yaml:
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  812.         WikiCS:
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  813.           encoder_cls: gssl.batched.encoders.BatchedTwoLayerGCN
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  814.           batch_sizes:
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  815.           - 256
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  816.           - 512
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  817.           - 1024
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  818.           - 2048
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  820.           use_pytorch_eval_model: false
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  821.           use_train_mask: false
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  824.           log_interval: 100
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  826.           emb_dim: 256
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  827.           lr_base: 0.0005
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  829.     - path: data/batched/train/WikiCS/
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  831.       size: 11032635542
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  832.       nfiles: 1048
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  833.   train_bgrl_full_batch@Coauthor-CS:
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  834.     cmd: PYTHONPATH=. python3 experiments/scripts/full_batch/train_bgrl.py Coauthor-CS
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  835.     deps:
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  836.     - path: data/datasets/Coauthor-CS/
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  844.       experiments/configs/full_batch/train_bgrl.yaml:
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  845.         Coauthor-CS:
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  846.           total_epochs: 10000
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  848.           log_interval: 1000
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  849.           use_pytorch_eval_model: false
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  856.           hidden_dim: 512
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  857.           pred_dim: 512
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  858.     outs:
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  859.     - path: data/full_batch/train_bgrl/Coauthor-CS/
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  861.       size: 14504988
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  862.       nfiles: 7
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  863.   bgrl_hps_batched@ogbn-products:
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  864.     cmd: PYTHONPATH=. python3 experiments/scripts/batched/hps_bgrl.py ogbn-products
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  865.     deps:
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  866.     - path: data/datasets/ogbn-products/
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  873.     params:
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  874.       experiments/configs/batched/hps_bgrl.yaml:
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  875.         ogbn-products:
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  876.           encoder_cls: src.bgrl.BatchedGAT4BGRL
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  877.           batch_sizes:
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  878.           - 512
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  879.           inference_batch_size: 1024
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  880.           use_pytorch_eval_model: true
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  890.           grid_type: ONLY_SAME
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  891.           metric: accuracy
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  893.           hidden_dim: 256
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  896.           total_epochs: 10
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  897.           warmup_epochs: 2
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  898.     outs:
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  899.     - path: data/batched/hps_bgrl/ogbn-products/best.json
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    904. 

  904.       size: 2920
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  905.   batched_train_ogbn_products:
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  906.     cmd: PYTHONPATH=. python3 experiments/scripts/batched/train.py ogbn-products
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  907.     deps:
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  908.     - path: data/datasets/ogbn-products/
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  916.       data/batched/hps/ogbn-products/best.json:
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  917.         SAME:
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  918.           '512':
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  919.             accuracy: 0.6825006292104572
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  922.               p_e_1: 0.2
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  923.               p_x_2:
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  924.               p_e_2:
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  925.       experiments/configs/batched/train.yaml:
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  926.         ogbn-products:
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  927.           encoder_cls: gssl.batched.encoders.BatchedGAT
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  928.           batch_sizes:
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  929.           - 512
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  931.           use_pytorch_eval_model: true
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  932.           use_train_mask: true
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  933.           total_epochs: 100
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  934.           warmup_epochs: 10
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  935.           log_interval: 10
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  936.           num_splits: 5
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  937.           emb_dim: 128
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  938.           lr_base: 0.001
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  939.     outs:
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  940.     - path: data/batched/train/ogbn-products/
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  943.       nfiles: 67
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  944.   bgrl_batched_train@ogbn-products:
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  945.     cmd: PYTHONPATH=. python3 experiments/scripts/batched/train_bgrl.py ogbn-products
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  946.     deps:
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  947.     - path: data/datasets/ogbn-products/
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  948.       md5: a5c0b54b7780d85213ff00693b66d26b.dir
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  955.       data/batched/hps_bgrl/ogbn-products/best.json:
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  956.         SAME:
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  957.           '512':
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  958.             accuracy: 0.7037866947179308
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  959.             params:
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  960.               p_x_1: 0.30000000000000004
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  961.               p_e_1: 0.4
    962. 

  962.               p_x_2:
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  963.               p_e_2:
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  964.       experiments/configs/batched/train_bgrl.yaml:
    965. 

  965.         ogbn-products:
    966. 

  966.           encoder_cls: src.bgrl.BatchedGAT4BGRL
    967. 

  967.           batch_sizes:
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  968.           - 512
    969. 

  969.           inference_batch_size: 1024
    970. 

  970.           use_pytorch_eval_model: true
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  971.           use_train_mask: true
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  972.           total_epochs: 100
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  973.           warmup_epochs: 10
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  974.           log_interval: 10
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  975.           num_splits: 5
    976. 

  976.           emb_dim: 128
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  977.           hidden_dim: 256
    978. 

  978.           pred_dim: 512
    979. 

  979.           lr_base: 0.001
    980. 

  980.     outs:
    981. 

  981.     - path: data/batched/train_bgrl/ogbn-products/
    982. 

  982.       md5: ee58dd1404ed2c43cb86f722f9d17f95.dir
    983. 

  983.       size: 22353492
    984. 

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  985.   batched_train@Coauthor-CS:
    986. 

  986.     cmd: PYTHONPATH=. python3 experiments/scripts/batched/train.py Coauthor-CS
    987. 

  987.     deps:
    988. 

  988.     - path: data/datasets/Coauthor-CS/
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  989.       md5: de381c7fb631620ea4d2247c513d5754.dir
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  992.     - path: experiments/scripts/batched/train.py
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    994. 

  994.       size: 6752
    995. 

  995.     params:
    996. 

  996.       data/full_batch/hps/Coauthor-CS/best.json:
    997. 

  997.         SAME:
    998. 

  998.           accuracy: 0.9335878903586526
    999. 

  999.           params:
    1000. 

  1000.             p_x_1: 0.1
    1001. 

  1001.             p_e_1: 0.5
    1002. 

  1002.             p_x_2: 0.1
    1003. 

  1003.             p_e_2: 0.5
    1004. 

  1004.       experiments/configs/batched/train.yaml:
    1005. 

  1005.         Coauthor-CS:
    1006. 

  1006.           encoder_cls: gssl.batched.encoders.BatchedTwoLayerGCN
    1007. 

  1007.           batch_sizes:
    1008. 

  1008.           - 256
    1009. 

  1009.           - 512
    1010. 

  1010.           - 1024
    1011. 

  1011.           - 2048
    1012. 

  1012.           inference_batch_size: 1024
    1013. 

  1013.           use_pytorch_eval_model: false
    1014. 

  1014.           use_train_mask: false
    1015. 

  1015.           total_epochs: 1000
    1016. 

  1016.           warmup_epochs: 100
    1017. 

  1017.           log_interval: 100
    1018. 

  1018.           num_splits: 5
    1019. 

  1019.           emb_dim: 256
    1020. 

  1020.           lr_base: 1e-05
    1021. 

  1021.     outs:
    1022. 

  1022.     - path: data/batched/train/Coauthor-CS/
    1023. 

  1023.       md5: e6fffa2dee1edfa0f31a1bbeb9d2287a.dir
    1024. 

  1024.       size: 5052068904
    1025. 

  1025.       nfiles: 270
    1026. 

  1026.   batched_train@Amazon-CS:
    1027. 

  1027.     cmd: PYTHONPATH=. python3 experiments/scripts/batched/train.py Amazon-CS
    1028. 

  1028.     deps:
    1029. 

  1029.     - path: data/datasets/Amazon-CS/
    1030. 

  1030.       md5: 7f0937cd73da9482ebce6a4f3f70ea5e.dir
    1031. 

  1031.       size: 82919945
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  1032.       nfiles: 4
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  1034.       md5: 9dd28a95bedc6a4074be429a8a3b5d7d
    1035. 

  1035.       size: 6752
    1036. 

  1036.     params:
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  1037.       data/full_batch/hps/Amazon-CS/best.json:
    1038. 

  1038.         SAME:
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  1039.           accuracy: 0.8823850209052899
    1040. 

  1040.           params:
    1041. 

  1041.             p_x_1: 0.1
    1042. 

  1042.             p_e_1: 0.4
    1043. 

  1043.             p_x_2: 0.1
    1044. 

  1044.             p_e_2: 0.4
    1045. 

  1045.       experiments/configs/batched/train.yaml:
    1046. 

  1046.         Amazon-CS:
    1047. 

  1047.           encoder_cls: gssl.batched.encoders.BatchedTwoLayerGCN
    1048. 

  1048.           batch_sizes:
    1049. 

  1049.           - 256
    1050. 

  1050.           - 512
    1051. 

  1051.           - 1024
    1052. 

  1052.           - 2048
    1053. 

  1053.           inference_batch_size: 1024
    1054. 

  1054.           use_pytorch_eval_model: false
    1055. 

  1055.           use_train_mask: false
    1056. 

  1056.           total_epochs: 1000
    1057. 

  1057.           warmup_epochs: 100
    1058. 

  1058.           log_interval: 100
    1059. 

  1059.           num_splits: 20
    1060. 

  1060.           emb_dim: 128
    1061. 

  1061.           lr_base: 0.0005
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  1062.     outs:
    1063. 

  1063.     - path: data/batched/train/Amazon-CS/
    1064. 

  1064.       md5: d15e7d0c6f124c67bce2050f3dbdd6ad.dir
    1065. 

  1065.       size: 6578916344
    1066. 

  1066.       nfiles: 1048
    1067. 

  1067.   batched_train@PPI:
    1068. 

  1068.     cmd: PYTHONPATH=. python3 experiments/scripts/batched/train.py PPI
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  1069.     deps:
    1070. 

  1070.     - path: data/datasets/PPI/
    1071. 

  1071.       md5: 218e6533b4e33d1b912caf915e7efbac.dir
    1072. 

  1072.       size: 201304017
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  1075.       md5: 9dd28a95bedc6a4074be429a8a3b5d7d
    1076. 

  1076.       size: 6752
    1077. 

  1077.     params:
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  1078.       data/full_batch/hps/PPI/best.json:
    1079. 

  1079.         SAME:
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  1080.           f1: 0.7054821118956851
    1081. 

  1081.           params:
    1082. 

  1082.             p_x_1: 0.1
    1083. 

  1083.             p_e_1: 0.1
    1084. 

  1084.             p_x_2:
    1085. 

  1085.             p_e_2:
    1086. 

  1086.       experiments/configs/batched/train.yaml:
    1087. 

  1087.         PPI:
    1088. 

  1088.           encoder_cls: gssl.batched.encoders.BatchedGAT
    1089. 

  1089.           batch_sizes:
    1090. 

  1090.           - 512
    1091. 

  1091.           - 1024
    1092. 

  1092.           inference_batch_size: 1024
    1093. 

  1093.           use_pytorch_eval_model: false
    1094. 

  1094.           use_train_mask: false
    1095. 

  1095.           total_epochs: 500
    1096. 

  1096.           warmup_epochs: 50
    1097. 

  1097.           log_interval: 100
    1098. 

  1098.           num_splits: 5
    1099. 

  1099.           emb_dim: 512
    1100. 

  1100.           lr_base: 0.005
    1101. 

  1101.     outs:
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  1102.     - path: data/batched/train/PPI/
    1103. 

  1103.       md5: 4e1525447e73e09c44163e827158565c.dir
    1104. 

  1104.       size: 7578716222
    1105. 

  1105.       nfiles: 93
    1106. 

  1106.   batched_train@ogbn-arxiv:
    1107. 

  1107.     cmd: PYTHONPATH=. python3 experiments/scripts/batched/train.py ogbn-arxiv
    1108. 

  1108.     deps:
    1109. 

  1109.     - path: data/datasets/ogbn-arxiv/
    1110. 

  1110.       md5: a80de10eee83c6819a9bb073c33aa08e.dir
    1111. 

  1111.       size: 191277877
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  1114.       md5: 9dd28a95bedc6a4074be429a8a3b5d7d
    1115. 

  1115.       size: 6752
    1116. 

  1116.     params:
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  1117.       data/full_batch/hps/ogbn-arxiv/best.json:
    1118. 

  1118.         SAME:
    1119. 

  1119.           accuracy: 0.6752463839680678
    1120. 

  1120.           params:
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  1122.             p_e_1: 0.2
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  1123.             p_x_2:
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  1124.             p_e_2:
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  1125.       experiments/configs/batched/train.yaml:
    1126. 

  1126.         ogbn-arxiv:
    1127. 

  1127.           encoder_cls: gssl.batched.encoders.BatchedThreeLayerGCN
    1128. 

  1128.           batch_sizes:
    1129. 

  1129.           - 1024
    1130. 

  1130.           - 2048
    1131. 

  1131.           inference_batch_size: 1024
    1132. 

  1132.           use_pytorch_eval_model: true
    1133. 

  1133.           use_train_mask: false
    1134. 

  1134.           total_epochs: 500
    1135. 

  1135.           warmup_epochs: 100
    1136. 

  1136.           log_interval: 100
    1137. 

  1137.           num_splits: 5
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  1138.           emb_dim: 256
    1139. 

  1139.           lr_base: 0.001
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  1140.     outs:
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  1141.     - path: data/batched/train/ogbn-arxiv/
    1142. 

  1142.       md5: 07f57ec42cb9eed05727cf6f9b79df96.dir
    1143. 

  1143.       size: 10456440464
    1144. 

  1144.       nfiles: 85
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  1145.   batched_train@Coauthor-Physics:
    1146. 

  1146.     cmd: PYTHONPATH=. python3 experiments/scripts/batched/train.py Coauthor-Physics
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  1147.     deps:
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  1148.     - path: data/datasets/Coauthor-Physics/
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  1153.       md5: 9dd28a95bedc6a4074be429a8a3b5d7d
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  1154.       size: 6752
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  1155.     params:
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  1156.       data/full_batch/hps/Coauthor-Physics/best.json:
    1157. 

  1157.         SAME:
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  1158.           accuracy: 0.9493730521127781
    1159. 

  1159.           params:
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  1160.             p_x_1: 0.4
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  1161.             p_e_1: 0.1
    1162. 

  1162.             p_x_2: 0.4
    1163. 

  1163.             p_e_2: 0.1
    1164. 

  1164.       experiments/configs/batched/train.yaml:
    1165. 

  1165.         Coauthor-Physics:
    1166. 

  1166.           encoder_cls: gssl.batched.encoders.BatchedTwoLayerGCN
    1167. 

  1167.           batch_sizes:
    1168. 

  1168.           - 256
    1169. 

  1169.           - 512
    1170. 

  1170.           - 1024
    1171. 

  1171.           - 2048
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  1172.           inference_batch_size: 1024
    1173. 

  1173.           use_pytorch_eval_model: false
    1174. 

  1174.           use_train_mask: false
    1175. 

  1175.           total_epochs: 1000
    1176. 

  1176.           warmup_epochs: 100
    1177. 

  1177.           log_interval: 100
    1178. 

  1178.           num_splits: 5
    1179. 

  1179.           emb_dim: 128
    1180. 

  1180.           lr_base: 1e-05
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  1181.     outs:
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  1182.     - path: data/batched/train/Coauthor-Physics/
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  1183.       md5: 67d6393bf1806ee2f3a4a213464a2ea2.dir
    1184. 

  1184.       size: 2235331437
    1185. 

  1185.       nfiles: 134
    1186. 

  1186.   evaluate_features_products:
    1187. 

  1187.     cmd: PYTHONPATH=. python3 experiments/scripts/products/features.py
    1188. 

  1188.     deps:
    1189. 

  1189.     - path: data/datasets/ogbn-products/
    1190. 

  1190.       md5: a5c0b54b7780d85213ff00693b66d26b.dir
    1191. 

  1191.       size: 4464823315
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  1192.       nfiles: 15
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  1193.     - path: experiments/scripts/products/features.py
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  1194.       md5: 37ee2b227b8aba450a0908909d09d5c0
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  1195.       size: 1384
    1196. 

  1196.     outs:
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  1197.     - path: data/products/features.json
    1198. 

  1198.       md5: ba46307f286d6c9e9f0e418113b2eaa6
    1199. 

  1199.       size: 149
    1200. 

  1200.   evaluate_deepwalk_products:
    1201. 

  1201.     cmd: PYTHONPATH=. python3 experiments/scripts/products/deepwalk.py
    1202. 

  1202.     deps:
    1203. 

  1203.     - path: data/datasets/ogbn-products/
    1204. 

  1204.       md5: a5c0b54b7780d85213ff00693b66d26b.dir
    1205. 

  1205.       size: 4464823315
    1206. 

  1206.       nfiles: 15
    1207. 

  1207.     - path: experiments/scripts/products/deepwalk.py
    1208. 

  1208.       md5: 751012f7e2be47c491b565ef34677e28
    1209. 

  1209.       size: 3181
    1210. 

  1210.     outs:
    1211. 

  1211.     - path: data/products/deepwalk.json
    1212. 

  1212.       md5: a033ae792a624fed220b0cc92769e13d
    1213. 

  1213.       size: 476
    1214. 

  1214.     - path: data/products/deepwalk_features.json
    1215. 

  1215.       md5: e56c14d833d07664d21a5366dae23050
    1216. 

  1216.       size: 476
    1217.
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