HP-GMN: Graph Memory Networks for Heterophilous Graphs

Kavli Affiliate: Xiang Zhang | First 5 Authors: Junjie Xu, Enyan Dai, Xiang Zhang, Suhang Wang, | Summary: Graph neural networks (GNNs) have achieved great success in various graph problems. However, most GNNs are Message Passing Neural Networks (MPNNs) based on the homophily assumption, where nodes with the same label are connected in graphs. Real-world […]


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