Row 94160

Row ID: 94160 | Dataset Entry | Axioma AXP Content Repository

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I use PyG for EdgeConv and DynamicEdgeConv (non-heterogeneous graphs). If you are interested in specific GNN layers from some paper and can find them in the [CheatSheet](https://pytorch-geometric.readthedocs.io/en/latest/cheatsheet/gnn_cheatsheet.html?highlight=Heterogeneous#heterogeneous-graph-neural-network-operators) it might be worth a shot

FieldValue
text I use PyG for EdgeConv and DynamicEdgeConv (non-heterogeneous graphs). If you are interested in specific GNN layers from some paper and can find them in the [CheatSheet](https://pytorch-geometric.readthedocs.io/en/latest/cheatsheet/gnn_cheatsheet.html?highlight=Heterogeneous#heterogeneous-graph-neural-network-operators) it might be worth a shot
label r/machinelearning
dataType comment
communityName r/MachineLearning
datetime 2024-05-25
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Raw Record

{
  "text": "I use PyG for EdgeConv and DynamicEdgeConv (non-heterogeneous graphs). If you are interested in specific GNN layers from some paper and can find them in the [CheatSheet](https://pytorch-geometric.readthedocs.io/en/latest/cheatsheet/gnn_cheatsheet.html?highlight=Heterogeneous#heterogeneous-graph-neural-network-operators) it might be worth a shot",
  "label": "r/machinelearning",
  "dataType": "comment",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-25",
  "username_encoded": "Z0FBQUFBQm5Lak10b19uMTJHQkNmQkxVN251NXptem5odFZuWUVjTGRXT2RWQllVNGxIOTdzTm5EU2d2ZXlodE5mbFJ0dl9kdUZFYnVfYnotbnZMelNFWXpNLTNKZWZqM2c9PQ==",
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}
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