LanczosNet: Multi-Scale Deep Graph Convolutional Networks

Benchmark Model Rank Results
node-classification-on-citeseer-05AdaLanczosNet#7Accuracy: 53.8 ± 4.7
node-classification-on-citeseer-05LanczosNet#8Accuracy: 53.2 ± 4.0
node-classification-on-citeseer-1AdaLanczosNet#7Accuracy: 63.3 ± 1.8
node-classification-on-citeseer-1LanczosNet#9Accuracy: 61.3 ± 3.9
node-classification-on-citeseer-with-publicAdaLanczosNet#34Accuracy: 68.7 ± 1.0
node-classification-on-citeseer-with-publicLanczosNet#36Accuracy: 66.2 ± 1.9
node-classification-on-cora-05AdaLanczosNet#8Accuracy: 60.8 ± 9.0
node-classification-on-cora-05LanczosNet#10Accuracy: 58.1 ± 8.2
node-classification-on-cora-1AdaLanczosNet#8Accuracy: 67.5 ± 8.7
node-classification-on-cora-1LanczosNet#10Accuracy: 66.1 ± 8.2
node-classification-on-cora-3AdaLanczosNet#8Accuracy: 77.7 ± 2.4
node-classification-on-cora-3LanczosNet#10Accuracy: 76.3 ± 2.3
node-classification-on-cora-with-public-splitAdaLanczosNet#30Accuracy: 80.4 ± 1.1
node-classification-on-cora-with-public-splitLanczosNet#32Accuracy: 79.5 ± 1.8
node-classification-on-pubmed-003AdaLanczosNet#7Accuracy: 61%
node-classification-on-pubmed-003LanczosNet#9Accuracy: 60.4 ± 8.6
node-classification-on-pubmed-005LanczosNet#7Accuracy: 68.8 ± 5.6
node-classification-on-pubmed-005AdaLanczosNet#9Accuracy: 66%
node-classification-on-pubmed-01LanczosNet#6Accuracy: 73.4 ± 5.1
node-classification-on-pubmed-01AdaLanczosNet#9Accuracy: 72.8 ± 4.6
node-classification-on-pubmed-with-publicLanczosNet#26Accuracy: 78.3 ± 0.3
node-classification-on-pubmed-with-publicAdaLanczosNet#27Accuracy: 78.1 ± 0.4