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ResearchFormerly WizWand

Link Prediction on SBM graphs In-distribution Transductive

96.92HR@10Oracle
92.749693.832394.91595.9977May 30, 2022
Updated 8mo ago

Evaluation results

MethodLinks
OracleTraining graph size=10^3, Evaluation Protocol=Transductive2022.0596.9296.9296.9293.7496.77
OracleTraining graph size (Ntr)=10^32022.0596.9296.9296.9293.7496.77
gMPNN**Training graph size=10^3, Evaluation Protocol=Transductive, Model configuration=learn Ψ2022.0596.7196.889794.2397.03
gMPNNPsi configuration=learn, Training graph size (Ntr)=10^32022.0596.7196.889794.2397.03
GIN*Training graph size=10^3, Evaluation Protocol=Transductive2022.0595.7796.0996.2895.4897.69
GINTraining graph size (Ntr)=10^32022.0595.7796.0996.2895.4897.69
GraphSAGE*Training graph size=10^3, Evaluation Protocol=Transductive2022.0595.5595.9396.1495.4297.66
GraphSAGEAggregation type=mean, Training graph size (Ntr)=10^32022.0595.5595.9396.1495.4297.66
GraphSAGEAggregation type=max, Training graph size (Ntr)=10^32022.0595.4396.1396.5495.3897.64
GAT*Training graph size=10^3, Evaluation Protocol=Transductive2022.0593.7794.0194.1490.9495.26
GATAggregation type=mean, Training graph size (Ntr)=10^32022.0593.7794.0194.1490.9495.26
gMPNN**Training graph size=10^3, Evaluation Protocol=Transductive, Model configuration=fixed Ψ2022.0593.7694.1794.5193.6496.72
gMPNNPsi configuration=fixed, Training graph size (Ntr)=10^32022.0593.7694.1794.5193.6496.72
GCN*Training graph size=10^3, Evaluation Protocol=Transductive2022.0593.1593.9994.3592.4195.97
GCNTraining graph size (Ntr)=10^32022.0593.1593.9994.3592.4195.97
GATAggregation type=max, Training graph size (Ntr)=10^32022.0592.9193.8894.0887.3693.34