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Graph Regression on ZINC

0.077MSECIN++
0.050760.227880.4050.58212Aug 13, 2023Jan 8, 2024Jun 5, 2024Nov 1, 2024Mar 29, 2025Aug 25, 2025Jan 21, 2026

Evaluation results

MethodLinks
CIN++Edge Features=true2023.080.077
CINEdge Features=true2023.080.079
PathNNEdge Features=true2023.080.09
PINEdge Features=true2023.080.096
GSNEdge Features=true2023.080.115
CINEdge Features=false2023.080.115
PINEdge Features=false2023.080.139
GSNEdge Features=false2023.080.14
HIMPEdge Features=true2023.080.151
DGNEdge Features=true2023.080.168
PNAEdge Features=true2023.080.188
DGNEdge Features=false2023.080.219
GINEdge Features=true2023.080.252
PNAEdge Features=false2023.080.32
GPF-LoRAPQuantization Framework=A2Q, Model Architecture=GIN2026.010.361
GatedGCNEdge Features=true2023.080.363
GPF-plusQuantization Framework=A2Q, Model Architecture=GIN2026.010.399
No PromptingQuantization Framework=A2Q, Model Architecture=GIN2026.010.4
GINEdge Features=false2023.080.408
No PromptingQuantization Framework=FP32, Model Architecture=GIN2026.010.414
GatedGCNEdge Features=false2023.080.422
GATEdge Features=false2023.080.463
No PromptingQuantization Framework=FP32, Model Architecture=GAT2026.010.463
GCNEdge Features=false2023.080.469
No PromptingQuantization Framework=FP32, Model Architecture=GCN2026.010.469
GPF-LoRAPQuantization Framework=A2Q, Model Architecture=GCN2026.010.482
No PromptingQuantization Framework=A2Q, Model Architecture=GCN2026.010.504
GPF-plusQuantization Framework=A2Q, Model Architecture=GCN2026.010.506
GPF-LoRAPQuantization Framework=DQ, Model Architecture=GAT2026.010.508
GPF-LoRAPQuantization Framework=DQ, Model Architecture=GIN2026.010.512
GPF-LoRAPQuantization Framework=QAT, Model Architecture=GIN2026.010.528
GPF-plusQuantization Framework=DQ, Model Architecture=GCN2026.010.534
No PromptingQuantization Framework=DQ, Model Architecture=GIN2026.010.54
No PromptingQuantization Framework=QAT, Model Architecture=GIN2026.010.555
GPF-plusQuantization Framework=DQ, Model Architecture=GIN2026.010.555
No PromptingQuantization Framework=DQ, Model Architecture=GAT2026.010.556
GPF-plusQuantization Framework=QAT, Model Architecture=GIN2026.010.569
GPF-LoRAPQuantization Framework=DQ, Model Architecture=GCN2026.010.57
GPF-plusQuantization Framework=DQ, Model Architecture=GAT2026.010.589
GPF-LoRAPQuantization Framework=A2Q, Model Architecture=GAT2026.010.628
No PromptingQuantization Framework=DQ, Model Architecture=GCN2026.010.657
No PromptingQuantization Framework=A2Q, Model Architecture=GAT2026.010.674
GPF-LoRAPQuantization Framework=QAT, Model Architecture=GAT2026.010.685
GPF-plusQuantization Framework=A2Q, Model Architecture=GAT2026.010.685
GPF-LoRAPQuantization Framework=QAT, Model Architecture=GCN2026.010.69
GPF-plusQuantization Framework=QAT, Model Architecture=GAT2026.010.693
No PromptingQuantization Framework=QAT, Model Architecture=GAT2026.010.702
No PromptingQuantization Framework=QAT, Model Architecture=GCN2026.010.707
GPF-plusQuantization Framework=QAT, Model Architecture=GCN2026.010.733