Learning the Graph and the Embedding Together: Classifier-Independent Rewiring for Heterophilic Node Classification
Graph neural networks lose much of their advantage on heterophilic graphs, where connected nodes often carry different labels. Graph rewiring is a popular remedy, but rewiring methods are usually evaluated with a single classifier, which makes it hard to tell whether the gains come from the new topology or from that pa...
Harshit Kumar, Sujan Chakraborty, Priyanka Saha et al.
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