Graph Regression on ZINC (MAE)
0.017MAEESA
Evaluation Results
| Method | Links | |
|---|---|---|
| ESAPE=true2024.02 | 0.017 | |
| GPS2024.02 | 0.024 | |
| ESA2024.02 | 0.027 | |
| Exphormer2024.02 | 0.041 | |
| TAU-GRITTokenizer=TAU, Backbone=GRIT2025.10 | 0.051 | |
| TIGT2024.02 | 0.057 | |
| GRIT2024.02 | 0.059 | |
| GRIT2025.10 | 0.059 | |
| GPS + GFSAGFSA=true2023.12 | 0.069 | |
| QUESTAttention=QUEST2026.03 | 0.069 | |
| GraphGPS2026.04 | 0.069 | |
| GPSGFSA=false2023.12 | 0.07 | |
| GPSruns=4, seeds=42024.10 | 0.07 | |
| GPS2024.02 | 0.07 | |
| StandardAttention=Standard2026.03 | 0.07 | |
| GraphGPS2025.10 | 0.07 | |
| Cluster-GTruns=4, seeds=42024.10 | 0.071 | |
| Graph MLP-Mixerruns=4, seeds=42024.10 | 0.073 | |
| Graph-ViT-MLPMixer2026.03 | 0.073 | |
| FragNet2026.03 | 0.078 | |
| HGODE2026.04 | 0.078 | |
| HGODE2026.04 | 0.078 | |
| CIN2024.02 | 0.079 | |
| FROND2026.04 | 0.079 | |
| GIN-AK+2024.02 | 0.08 | |
| Graphormer-GD2024.02 | 0.081 | |
| DRAGON2026.04 | 0.081 | |
| Subgraphormer2026.04 | 0.082 | |
| GREAD-BS2026.04 | 0.084 | |
| Graph-ViT + GFSAGFSA=true2023.12 | 0.0845 | |
| Graph-ViTGFSA=false2023.12 | 0.0849 | |
| Graph ViTruns=4, seeds=42024.10 | 0.085 | |
| CRaW12024.02 | 0.085 | |
| GCN+2026.04 | 0.087 | |
| BuNN2026.04 | 0.087 | |
| GatedGCN+LSPE2024.02 | 0.09 | |
| K-Subgraph SAT2024.02 | 0.094 | |
| GSN2024.02 | 0.101 | |
| Polynormer2024.02 | 0.101 | |
| Cy2C-GNNs2024.02 | 0.102 | |
| GREAD-Exp2026.04 | 0.102 | |
| EGT#Param=≈500K2021.08 | 0.108 | |
| EGT2024.02 | 0.108 | |
| EGT2025.10 | 0.108 | |
| Graphormer + GFSA#Params=500K2023.12 | 0.1189 | |
| ALL-IN-SPECIALIZEDTraining Scope=Trained per dataset, Node Properties=Standard2026.05 | 0.1195 | |
| DGN#Param=≈500K2021.08 | 0.122 | |
| Graphormer#Param=≈500K2021.08 | 0.122 | |
| Graphormerruns=4, seeds=42024.10 | 0.122 | |
| Graphormer2024.02 | 0.122 | |
| ALL-INTraining Scope=Trained on all datasets, Node Properties=Standard2026.05 | 0.1237 | |
| Graphormer#Params=500K2023.12 | 0.124 | |
| FLODE2026.04 | 0.124 | |
| ACMP2026.04 | 0.124 | |
| Our Method2026.03 | 0.131 | |
| Graphormer2026.03 | 0.132 | |
| SAN+LapPEruns=4, seeds=42024.10 | 0.139 | |
| SAN2024.02 | 0.139 | |
| PNA#Param=≈500K2021.08 | 0.142 | |
| EGT#Param=≈100K2021.08 | 0.143 | |
| HGODEvariant=w/o hysteresis2026.04 | 0.145 | |
| GRAND2026.04 | 0.147 | |
| Sheaf Diff.2026.04 | 0.148 | |
| ALL-IN-SPECIALIZEDTraining Scope=Trained per dataset, Node Properties=0 props2026.05 | 0.148 | |
| CGNN2026.04 | 0.153 | |
| ALL-INTraining Scope=Trained on all datasets, Node Properties=0 props2026.05 | 0.1557 | |
| HGODEvariant=w/o topo. search2026.04 | 0.162 | |
| DGN#Param=≈100K2021.08 | 0.168 | |
| DGN2024.02 | 0.168 | |
| HGODEvariant=w/o force margin2026.04 | 0.172 | |
| GCNII2026.04 | 0.178 | |
| PNA#Param=≈100K2021.08 | 0.188 | |
| PNA2024.02 | 0.188 | |
| GraphiTruns=4, seeds=42024.10 | 0.202 | |
| GT#Param=≈500K2021.08 | 0.214 | |
| GatedGCN#Param=≈500K2021.08 | 0.214 | |
| PNAedge features=none2022.05 | 0.219 | |
| GT#Param=≈100K2021.08 | 0.226 | |
| GTruns=4, seeds=42024.10 | 0.226 | |
| GraphGT2026.03 | 0.226 | |
| GDE2026.04 | 0.239 | |
| LRGA + GatedGCNParameter Budget=446K2020.06 | 0.249 | |
| InfoGraphPre-training Type=Contrastive2023.09 | 0.254 | |
| GatedGCNParameter Budget=504K2020.06 | 0.282 | |
| GatedGCN#Param=≈100K2021.08 | 0.282 | |
| GatedGCN2024.02 | 0.282 | |
| tGNNedge features=none2022.05 | 0.301 | |
| PHM-GNNedge features=none2022.05 | 0.32 | |
| GHC2024.07 | 0.337 | |
| GTTok.=RW, Mode=Pad.2026.05 | 0.342 | |
| HANreproduced=official implementation2026.03 | 0.348 | |
| F-GINPre-training Type=Supervised (Reference)2023.09 | 0.35 | |
| LRGA + GatedGCNParameter Budget=94K2020.06 | 0.355 | |
| GCN2026.04 | 0.359 | |
| LRGA + GATParameter Budget=536K2020.06 | 0.36 | |
| GCNParameter Budget=505K2020.06 | 0.367 | |
| GCN#Param=≈500K2021.08 | 0.367 | |
| GCN2024.02 | 0.367 | |
| GatedGCNParameter Budget=105K2020.06 | 0.375 | |
| GIN#Param=≈500K2021.08 | 0.375 |