Feature/gnn #501
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Feature/gnn #501
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…ccuracy on nodes, and 67% AUC for link prediction, even in this simple model. For Cody/Tanmoy when I am in France
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i'm unclear what problem this solves? rgcn for link prediction that handles both node+edge attrs and node+edge classes? or for ER, how would this line up with a real dataset (hypergraph of ID -> attributes for raw input, and attribute<>attribute weighted equality scores of diff classes from feature engineering), + task (???) |
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This gives them a base class that doesn't use DGL, is lightweight, and stubs the net while I am away. |
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Adds joint training GNN toy model and fits it on Cora dataset.
For @tanmoyio and @webcoderz as templates for proj work.