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Link Prediction on SBM graphs In-distribution Inductive Nte = Ntr

97.01Hits@10Oracle
14.548435.956757.36578.7733May 30, 2022
Updated 8mo ago

Evaluation results

MethodLinks
OracleTraining graph size=10^3, Test graph size=Ntr, Evaluation Protocol=Inductive2022.0597.0197.0197.0193.8796.84
OracleTraining graph size (Ntr)=10^32022.0597.0197.0197.0193.8796.84
gMPNN**Training graph size=10^3, Test graph size=Ntr, Evaluation Protocol=Inductive, Model configuration=learn Ψ2022.0596.7196.9197.0294.2397.03
gMPNNPsi configuration=learn, Training graph size (Ntr)=10^32022.0596.7196.9197.0294.2397.03
gMPNN**Training graph size=10^3, Test graph size=Ntr, Evaluation Protocol=Inductive, Model configuration=fixed Ψ2022.0593.8594.2394.5593.7496.77
gMPNNPsi configuration=fixed, Training graph size (Ntr)=10^32022.0593.8594.2394.5593.7496.77
GCN*Training graph size=10^3, Test graph size=Ntr, Evaluation Protocol=Inductive2022.0566.2968.5269.9231.7667.21
GCNTraining graph size (Ntr)=10^32022.0566.2968.5269.9231.7667.21
GraphSAGE*Training graph size=10^3, Test graph size=Ntr, Evaluation Protocol=Inductive2022.0547.3852.1354.9419.3461.46
GraphSAGEAggregation type=mean, Training graph size (Ntr)=10^32022.0547.3852.1354.9419.3461.46
GATAggregation type=max, Training graph size (Ntr)=10^32022.0541.9843.3443.5422.6661.46
GAT*Training graph size=10^3, Test graph size=Ntr, Evaluation Protocol=Inductive2022.0540.0541.3441.9619.4459.52
GATAggregation type=mean, Training graph size (Ntr)=10^32022.0540.0541.3441.9619.4459.52
GIN*Training graph size=10^3, Test graph size=Ntr, Evaluation Protocol=Inductive2022.0539.3342.9343.918.5959.79
GINTraining graph size (Ntr)=10^32022.0539.3342.9343.918.5959.79
GraphSAGEAggregation type=max, Training graph size (Ntr)=10^32022.0517.7225.9131.4318.2458.65