Node Classification on Reddit inductive (test)
97.1Micro F1SAGN+1-SLE
Evaluation Results
| Method | Links | |
|---|---|---|
| SAGN+1-SLESLE stages=12021.04 | 97.1 | |
| SAGN+2-SLESLE stages=22021.04 | 97.1 | |
| SAGNSLE stages=02021.04 | 96.9 | |
| SIGN2021.04 | 96.8 | |
| GraphSaint2021.04 | 96.6 | |
| Stochastic-GCN2021.04 | 96.4 | |
| GaANSampling=S1=25, S2=102018.03 | 96.36 | |
| Attention-onlySampling=S1=25, S2=102018.03 | 96.19 | |
| Pairwise+sigmoidSampling=S1=25, S2=102018.03 | 95.86 | |
| Pairwise+tanhSampling=S1=25, S2=102018.03 | 95.8 | |
| AS-GCN2021.04 | 95.8 | |
| Avg. poolingSampling=S1=25, S2=102018.03 | 95.78 | |
| Max poolingSampling=S1=25, S2=102018.03 | 95.62 | |
| GraphSAGESampling=S1=25, S2=102018.03 | 95.4 | |
| ClusterGCN2021.04 | 95.4 | |
| GraphSAGE2021.04 | 95.3 | |
| SGC2021.04 | 94.9 | |
| FastGCNAvailable data=X, A, Y2018.09 | 93.7 | |
| Fast GCNSampling=S1=25, S2=102018.03 | 93.7 | |
| GCN2021.04 | 93.3 | |
| FastGCN2021.04 | 92.4 | |
| GraphSAGE-GCNAvailable data=X, A2018.09 | 90.8 | |
| GraphSAGE-LSTMAvailable data=X, A2018.09 | 90.7 | |
| GraphSAGE-meanAvailable data=X, A2018.09 | 89.7 | |
| GraphSAGE-poolAvailable data=X, A2018.09 | 89.2 | |
| 2-Layer FNNSampling=S1=25, S2=102018.03 | 73.58 | |
| DeepWalk + featuresAvailable data=X, A2018.09 | 69.1 | |
| Raw featuresAvailable data=X2018.09 | 58.5 | |
| DeepWalkAvailable data=A2018.09 | 32.4 |