Simplifying Graph Convolutional Networks

Benchmark Model Rank Results
graph-regression-on-lipophilicitySGC#20RMSE: 0.998
node-classification-on-chameleon-60-20-20SGC-1#161:1 Accuracy: 64.86 ± 1.81
node-classification-on-chameleon-60-20-20SGC-2#231:1 Accuracy: 62.67 ± 2.41
node-classification-on-citeseer-60-20-20SGC-2#201:1 Accuracy: 80.75 ± 1.15
node-classification-on-citeseer-60-20-20SGC-1#231:1 Accuracy: 79.66 ± 0.75
node-classification-on-cora-60-20-20-randomSGC-2#251:1 Accuracy: 85.48 ± 1.48
node-classification-on-cora-60-20-20-randomSGC-1#271:1 Accuracy: 85.12 ± 1.64
node-classification-on-cornell-60-20-20SGC-2#301:1 Accuracy: 72.62 ± 9.92
node-classification-on-cornell-60-20-20SGC-1#321:1 Accuracy: 70.98 ± 8.39
node-classification-on-film-60-20-20-randomSGC-2#351:1 Accuracy: 28.81 ± 1.11
node-classification-on-film-60-20-20-randomSGC-1#361:1 Accuracy: 25.26 ± 1.18
node-classification-on-geniusSGC 1-hop#19Accuracy: 82.36 ± 0.37
node-classification-on-geniusSGC 2-hop#20Accuracy: 82.10 ± 0.14
node-classification-on-non-homophilicSGC-2#281:1 Accuracy: 72.62 ± 9.92
node-classification-on-non-homophilicSGC-1#301:1 Accuracy: 70.98 ± 8.39
node-classification-on-non-homophilic-1SGC-2#251:1 Accuracy: 74.75 ± 2.89
node-classification-on-non-homophilic-1SGC-1#271:1 Accuracy: 70.38 ± 2.85
node-classification-on-non-homophilic-13SGC 2-hop#211:1 Accuracy: 76.09 ± 0.45
node-classification-on-non-homophilic-13SGC 1-hop#271:1 Accuracy: 66.79 ± 0.27
node-classification-on-non-homophilic-14SGC 1-hop#211:1 Accuracy: 82.36 ± 0.37
node-classification-on-non-homophilic-14SGC 2-hop#221:1 Accuracy: 82.10 ± 0.14
node-classification-on-non-homophilic-15SGC 2-hop#251:1 Accuracy: 59.94 ± 0.21
node-classification-on-non-homophilic-15SGC 1-hop#261:1 Accuracy: 58.97 ± 0.19
node-classification-on-non-homophilic-2SGC-1#211:1 Accuracy: 83.28 ± 5.43
node-classification-on-non-homophilic-2SGC-2#261:1 Accuracy: 81.31 ± 3.3
node-classification-on-non-homophilic-4SGC-1#151:1 Accuracy: 64.86 ± 1.81
node-classification-on-non-homophilic-4SGC-2#211:1 Accuracy: 62.67 ± 2.41
node-classification-on-non-homophilic-6SGC-1#241:1 Accuracy: 59.73±0.12
node-classification-on-penn94SGC 2-hop#25Accuracy: 76.09 ± 0.45
node-classification-on-penn94SGC 1-hop#31Accuracy: 66.79 ± 0.27
node-classification-on-pubmed-60-20-20-randomSGC-1#321:1 Accuracy: 85.5 ± 0.76
node-classification-on-pubmed-60-20-20-randomSGC-2#331:1 Accuracy: 85.36 ± 0.52
node-classification-on-squirrel-60-20-20SGC-1#171:1 Accuracy: 47.62 ± 1.27
node-classification-on-squirrel-60-20-20SGC-2#261:1 Accuracy: 41.25 ± 1.4
node-classification-on-texas-60-20-20-randomSGC-1#231:1 Accuracy: 83.28 ± 5.43
node-classification-on-texas-60-20-20-randomSGC-2#281:1 Accuracy: 81.31 ± 3.3
node-classification-on-wisconsin-60-20-20SGC-2#281:1 Accuracy: 74.75 ± 2.89
node-classification-on-wisconsin-60-20-20SGC-1#301:1 Accuracy: 70.38 ± 2.85
node-property-prediction-on-ogbn-papers100mSGC#16Test Accuracy: 0.6329 ± 0.0019Ext. data: No
relation-extraction-on-tacredC-SGC#29F1: 67.0
sentiment-analysis-on-mrSGC#15Accuracy: 75.9
sentiment-analysis-on-mrSGCN#16Accuracy: 75.9
skeleton-based-action-recognition-on-sbuSGCConv#6Accuracy: 94.0%
text-classification-on-20newsSGC#3Accuracy: 88.5
text-classification-on-20newsSGCN#4Accuracy: 88.5
text-classification-on-ohsumedSGCN#3Accuracy: 68.5
text-classification-on-ohsumedSGC#4Accuracy: 68.5
text-classification-on-r52SGC#5Accuracy: 94.0
text-classification-on-r52SGCN#6Accuracy: 94.0
text-classification-on-r8SGC#14Accuracy: 97.2
text-classification-on-r8SGCN#15Accuracy: 97.2