Link Prediction on SBM graphs In-distribution Transductive
96.92HR@10Oracle
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| OracleTraining graph size=10^3, Evaluation Protocol=Transductive2022.05 | 96.92 | 96.92 | 96.92 | 93.74 | 96.77 | |
| OracleTraining graph size (Ntr)=10^32022.05 | 96.92 | 96.92 | 96.92 | 93.74 | 96.77 | |
| gMPNN**Training graph size=10^3, Evaluation Protocol=Transductive, Model configuration=learn Ψ2022.05 | 96.71 | 96.88 | 97 | 94.23 | 97.03 | |
| gMPNNPsi configuration=learn, Training graph size (Ntr)=10^32022.05 | 96.71 | 96.88 | 97 | 94.23 | 97.03 | |
| GIN*Training graph size=10^3, Evaluation Protocol=Transductive2022.05 | 95.77 | 96.09 | 96.28 | 95.48 | 97.69 | |
| GINTraining graph size (Ntr)=10^32022.05 | 95.77 | 96.09 | 96.28 | 95.48 | 97.69 | |
| GraphSAGE*Training graph size=10^3, Evaluation Protocol=Transductive2022.05 | 95.55 | 95.93 | 96.14 | 95.42 | 97.66 | |
| GraphSAGEAggregation type=mean, Training graph size (Ntr)=10^32022.05 | 95.55 | 95.93 | 96.14 | 95.42 | 97.66 | |
| GraphSAGEAggregation type=max, Training graph size (Ntr)=10^32022.05 | 95.43 | 96.13 | 96.54 | 95.38 | 97.64 | |
| GAT*Training graph size=10^3, Evaluation Protocol=Transductive2022.05 | 93.77 | 94.01 | 94.14 | 90.94 | 95.26 | |
| GATAggregation type=mean, Training graph size (Ntr)=10^32022.05 | 93.77 | 94.01 | 94.14 | 90.94 | 95.26 | |
| gMPNN**Training graph size=10^3, Evaluation Protocol=Transductive, Model configuration=fixed Ψ2022.05 | 93.76 | 94.17 | 94.51 | 93.64 | 96.72 | |
| gMPNNPsi configuration=fixed, Training graph size (Ntr)=10^32022.05 | 93.76 | 94.17 | 94.51 | 93.64 | 96.72 | |
| GCN*Training graph size=10^3, Evaluation Protocol=Transductive2022.05 | 93.15 | 93.99 | 94.35 | 92.41 | 95.97 | |
| GCNTraining graph size (Ntr)=10^32022.05 | 93.15 | 93.99 | 94.35 | 92.41 | 95.97 | |
| GATAggregation type=max, Training graph size (Ntr)=10^32022.05 | 92.91 | 93.88 | 94.08 | 87.36 | 93.34 |