Addressing Heterophily in Node Classification with Graph Echo State Networks

Benchmark Model Rank Results
node-classification-on-actorGESN#38Accuracy: 34.56 ± 0.76
node-classification-on-arxiv-yearGESN#10Accuracy: 48.80 ± 0.22
node-classification-on-citeseer-48-32-20GESN#231:1 Accuracy: 74.51 ± 2.14
node-classification-on-cora-48-32-20-fixedGESN#221:1 Accuracy: 86.04 ± 1.01
node-classification-on-geniusGESN#261:1 Accuracy: 91.72 ± 0.08
node-classification-on-non-homophilic-11GESN#31:1 Accuracy: 77.05 ± 1.24
node-classification-on-non-homophilic-12GESN#31:1 Accuracy: 73.56 ± 1.62
node-classification-on-non-homophilic-13GESN#191:1 Accuracy: 80.29 ± 0.41
node-classification-on-non-homophilic-15GESN#11:1 Accuracy: 68.34 ± 0.86
node-classification-on-non-homophilic-7GESN#191:1 Accuracy: 81.14 ± 6.00
node-classification-on-non-homophilic-8GESN#181:1 Accuracy: 83.33 ± 3.81
node-classification-on-non-homophilic-9GESN#131:1 Accuracy: 84.31 ± 4.44
node-classification-on-pubmed-48-32-20-fixedGESN#141:1 Accuracy: 89.20 ± 0.34