ES-MLP extends Graph-MLP with an edge-splitting mechanism from ES-GNN so that a pure MLP can match graph neural networks on homophilic and heterophilic node classification without using edges at inference.
Es-gnn: Generalizing graph neural networks beyond homophily with edge splitting
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Edge-Splitting MLP: Node Classification on Homophilic and Heterophilic Graphs without Message Passing
ES-MLP extends Graph-MLP with an edge-splitting mechanism from ES-GNN so that a pure MLP can match graph neural networks on homophilic and heterophilic node classification without using edges at inference.