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Search results for graph heterophily

2 search results found

Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)

NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN framework

Directed Graph Neural Network ⭐ 12

Dir-GNN is a machine learning model that enables learning on directed graphs.

Heterobust ⭐ 9

How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications (KDD'22)

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