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Graph property prediction on PCQM4M-LSC (val)

0.1224MAEEGT-Medium (18 layers)
0.0918440.2980970.504350.710603Jun 9, 2021Feb 12, 2022Oct 18, 2022Jun 23, 2023Feb 26, 2024Oct 31, 2024Jul 6, 2025

Evaluation results

MethodLinks
EGT-Medium (18 layers)#Param=47.4M, Layers=182021.080.1224
Graphormer2025.070.1234
Graphormer#param.=47.1M2021.060.1234
Graphormer#Param=47.1M2021.080.1234
Graphormer + URPE-based Attention#Params=12.5M2022.050.1238
EGT-Small (6 layers)#Param=11.5M, Layers=62021.080.126
Ours (S, φ)Shorter schedule=Full iterations2021.100.1263
GraphormerSMALLmodel_size=Small2025.070.1264
Graphormer SMALL#param.=12.5M2021.060.1264
Graphormer-SMALL#Param=12.5M2021.080.1264
Graphormer#Params=12.5M2022.050.1264
Ours (S, φ)Shorter schedule=10% of full iterations2021.100.1294
Ours (S, φ)-SMALLModel size=SMALL, Shorter schedule=10% of full iterations2021.100.1376
GIN-VN#param.=6.7M2021.060.1395
GIN-VN#Params=6.7M2022.050.1395
GIN-VN2021.100.1396
GIN-VN#Param=6.7M2021.080.1396
OmniVec22025.070.1397
DeeperGCN-VN#param.=25.5M2021.060.1398
DeeperGCN-VN#Param=25.5M2021.080.1398
DeeperGCN-VN#Params=25.5M2022.050.1398
Graph Transformer2025.070.14
GT#param.=0.6M2021.060.14
GT#Param=0.6M2021.080.14
GT#Params=0.6M2022.050.14
Graph Transformer-Widemodel_variant=Wide2025.070.1408
GT-Wide#param.=83.2M2021.060.1408
GT (bigger model)#Param=83.2M2021.080.1408
GT-Wide#Params=83.2M2022.050.1408
GINE-VN#param.=13.2M2021.060.143
GINE-VN#Param=13.2M2021.080.143
GINE-VN#Params=13.2M2022.050.143
MLP (S)Shorter schedule=10% of full iterations2021.100.1464
GCN-VN#param.=4.9M2021.060.1485
GCN-VN#Params=4.9M2022.050.1485
GCN-VN2021.100.151
GCN-VN#Param=4.9M2021.080.151
GIN2021.100.1536
GIN#Param=3.8M2021.080.1536
GIN#param.=3.8M2021.060.1537
GIN#Params=3.8M2022.050.1537
GCN2021.100.1684
GCN#Param=2.0M2021.080.1684
GCN#param.=2.0M2021.060.1691
GCN#Params=2.0M2022.050.1691
MLP-FINGERPRINT2021.100.2044
Transformer + Laplacian PEShorter schedule=10% of full iterations2021.100.2162
Meta-Transformer-B16Fbackbone=B16F2025.070.8863