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ContextI am trying to learn general-purpose node embeddings by an auxiliary link prediction task in a self-supervised fashion on a heterogeneous graph. Environmentpyg 2.5.2 Problem descriptionHeterodata datasetThere are no node features in the graph (initial node features are initialized with
Split into train, val and test
Resulting in
GNN model
The error
Results in Where is my fault? |
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Replies: 1 comment 11 replies
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Do you mind sharing your data? It looks like Btw, I feel like a lot of these node types may better be described as node features. |
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You would need to use a dummy
edge_weight
if you wanna useto_hetero
. Currently,to_hetero
expects that all node types and all edge types share the same format.