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Link Prediction on SBM graphs OOD Inductive Nte = 10^4

96.97Hit Rate @ 10gMPNN**
-3.878822.303148.48574.6669May 30, 2022

Evaluation results

MethodLinks
gMPNN**Training graph size=10^3, Test graph size=10^4, Evaluation Protocol=Inductive, Model configuration=learn Ψ2022.0596.9797.0297.0893.9496.88
gMPNNPsi configuration=learn, Training graph size (Ntr)=10^32022.0596.9797.0297.080.939496.88
OracleTraining graph size=10^3, Test graph size=10^4, Evaluation Protocol=Inductive2022.0596.9696.9696.9693.7796.79
OracleTraining graph size (Ntr)=10^32022.0596.9696.9696.960.937796.79
gMPNN**Training graph size=10^3, Test graph size=10^4, Evaluation Protocol=Inductive, Model configuration=fixed Ψ2022.0596.7496.9397.0193.7696.78
gMPNNPsi configuration=fixed, Training graph size (Ntr)=10^32022.0596.7496.9397.010.937696.78
GCN*Training graph size=10^3, Test graph size=10^4, Evaluation Protocol=Inductive2022.0539.2942.1544.19-4.8850.33
GCNTraining graph size (Ntr)=10^32022.0539.2942.1544.19-0.048850.33
GATAggregation type=max, Training graph size (Ntr)=10^32022.0532.5633.0133.24-0.028549.82
GAT*Training graph size=10^3, Test graph size=10^4, Evaluation Protocol=Inductive2022.0527.3128.1328.72-250.2
GATAggregation type=mean, Training graph size (Ntr)=10^32022.0527.3128.1328.72-0.0250.2
GraphSAGE*Training graph size=10^3, Test graph size=10^4, Evaluation Protocol=Inductive2022.059.9711.7312.98-6.5649.32
GraphSAGEAggregation type=mean, Training graph size (Ntr)=10^32022.059.9711.7312.98-0.065649.32
GraphSAGEAggregation type=max, Training graph size (Ntr)=10^32022.051.442.63.58-0.025249.83
GIN*Training graph size=10^3, Test graph size=10^4, Evaluation Protocol=Inductive2022.05000-3.9349.59
GINTraining graph size (Ntr)=10^32022.05000-0.039349.59