Link Prediction under Heterophily: A Physics-Inspired Graph Neural Network Approach
The article presents a study on the use of Graph Neural Networks (GNNs) for link prediction in heterophilic graphs. The authors introduce GRAFF-LP, an extension to the physics-inspired GRAFF model,…
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