Heterophilic Graph Neural Networks Optimization with Causal Message-passing

Benchmark Model Rank Results
node-classification-on-chameleonGprompt+CausalMP–Accuracy: 59.14±2.42
node-classification-on-cornellGREET+CausalMP–Accuracy: 68.23±2.90
node-classification-on-squirrelGprompt+CausalMP–Accuracy: 39.78±0.91
node-classification-on-texasLINKX+CausalMP–Accuracy: 57.36±0.60