CN-Motifs Perceptive Graph Neural Networks

Benchmark Model Rank Results
node-classification-on-actorCNMPGNN–Accuracy: 36.25 ± 0.98
node-classification-on-chameleonCNMPGNN–Accuracy: 73.29±1.29
node-classification-on-citeseerCNMPGNN–Accuracy: 76.81±1.40
node-classification-on-coraCNMPGNN–Accuracy: 88.20±1.22%
node-classification-on-cornellCNMPGNN–Accuracy: 82.38 ± 6.13
node-classification-on-pubmedCNMPGNN–Accuracy: 90.07± 0.43
node-classification-on-squirrelCNMPGNN–Accuracy: 63.60±1.96
node-classification-on-texasCNMPGNN–Accuracy: 85.68±5.28
node-classification-on-wisconsinCNMPGNN–Accuracy: 86.63 ± 3.57