CN-Motifs Perceptive Graph Neural Networks

Benchmark Model Rank Results
node-classification-on-actorCNMPGNNAccuracy: 36.25 ± 0.98
node-classification-on-chameleonCNMPGNNAccuracy: 73.29±1.29
node-classification-on-citeseerCNMPGNNAccuracy: 76.81±1.40
node-classification-on-coraCNMPGNNAccuracy: 88.20±1.22%
node-classification-on-cornellCNMPGNNAccuracy: 82.38 ± 6.13
node-classification-on-pubmedCNMPGNNAccuracy: 90.07± 0.43
node-classification-on-squirrelCNMPGNNAccuracy: 63.60±1.96
node-classification-on-texasCNMPGNNAccuracy: 85.68±5.28
node-classification-on-wisconsinCNMPGNNAccuracy: 86.63 ± 3.57