Row 97827

Row ID: 97827 | Dataset Entry | Axioma AXP Content Repository

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I've only used DGL and PyG, and I think PyG is a much more ergonomic API, not just for heterogeneous graphs. I think DGL is faster in benchmarks, but not by much.

FieldValue
text I've only used DGL and PyG, and I think PyG is a much more ergonomic API, not just for heterogeneous graphs. I think DGL is faster in benchmarks, but not by much.
label r/machinelearning
dataType comment
communityName r/MachineLearning
datetime 2024-05-25
username_encoded Z0FBQUFBQm5Lak13UHhsQV9SaVVYbk5iaENobkZLR3FYM3oxZkkyeU9uOTNqdlZ1eXJob3pqQms3RUY4RkxXMTNjTDVXWVdidHpIR3d6X2kySmRDQ0lSbkdaNGROdWprc0E9PQ==
url_encoded Z0FBQUFBQm5LalBCVkpaT2xHQ0RfWF9tZldLTmVNVFdUVVNnS3JFaS1MYlNpWmdpZkhURHpNbWkwem43bHRHZGZnM2UyeGM3S0YzdUNkbktmUzc0TUFzTnJkOHVDUEpCV2d2c3pGaUZvajdNU3V2UllKRFNOWEcyRURtaFFMSWVrN3FsdjNHaDBaY3kxU3dMNGozZllaSEsyV1dCQi1XYmhCeWNmSkV5Q3B5aTl1RXJkM1NBRTRVMzBqSE5RUGhpMS1fSDhHNGRrQmpCMU9NampmSzFjeUo0NlEyTkVnd2szdz09

Raw Record

{
  "text": "I've only used DGL and PyG, and I think PyG is a much more ergonomic API, not just for heterogeneous graphs. I think DGL is faster in benchmarks, but not by much.",
  "label": "r/machinelearning",
  "dataType": "comment",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-25",
  "username_encoded": "Z0FBQUFBQm5Lak13UHhsQV9SaVVYbk5iaENobkZLR3FYM3oxZkkyeU9uOTNqdlZ1eXJob3pqQms3RUY4RkxXMTNjTDVXWVdidHpIR3d6X2kySmRDQ0lSbkdaNGROdWprc0E9PQ==",
  "url_encoded": "Z0FBQUFBQm5LalBCVkpaT2xHQ0RfWF9tZldLTmVNVFdUVVNnS3JFaS1MYlNpWmdpZkhURHpNbWkwem43bHRHZGZnM2UyeGM3S0YzdUNkbktmUzc0TUFzTnJkOHVDUEpCV2d2c3pGaUZvajdNU3V2UllKRFNOWEcyRURtaFFMSWVrN3FsdjNHaDBaY3kxU3dMNGozZllaSEsyV1dCQi1XYmhCeWNmSkV5Q3B5aTl1RXJkM1NBRTRVMzBqSE5RUGhpMS1fSDhHNGRrQmpCMU9NampmSzFjeUo0NlEyTkVnd2szdz09"
}
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