Graph Property Prediction on QM9

Metric: logMAE (lower is better)

LeaderboardDataset

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#	Model↕	logMAE▲	Extra Data	Paper	Date↕	Code
1	GotenNet (Large)	-6.41	No	-	-	Code
2	GotenNet (Base)	-6.35	No	-	-	Code
3	GotenNet (Small)	-6.29	No	-	-	Code
4	Geoformer	-6.12	No	-	-	-
5	TorchMD-NET	-5.9	No	TorchMD-NET: Equivariant Transformers for Neural...	2022-02-05	Code
6	EquiformerV2	-5.87	No	EquiformerV2: Improved Equivariant Transformer f...	2023-06-21	Code
7	Equiformer	-5.82	No	Equiformer: Equivariant Graph Attention Transfor...	2022-06-23	Code
8	EGNN	-5.43	No	E(n) Equivariant Graph Neural Networks	2021-02-19	Code
9	EQGAT	-5.28	No	-	-	-
10	SEGNN	-5.27	No	Geometric and Physical Quantities Improve E(3) E...	2021-10-06	Code

#1GotenNet (Large)
-6.41
logMAE
No paperCode
#2GotenNet (Base)
-6.35
logMAE
No paperCode
#3GotenNet (Small)
-6.29
logMAE
No paperCode
#4Geoformer
-6.12
logMAE
No paper
#5TorchMD-NETSOTA
-5.9
logMAE· 2022-02-05
TorchMD-NET: Equivariant Transformers for Neural Network based Molecular Potentials Code
#6EquiformerV2
-5.87
logMAE· 2023-06-21
EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations Code
#7Equiformer
-5.82
logMAE· 2022-06-23
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs Code
#8EGNNSOTA
-5.43
logMAE· 2021-02-19
E(n) Equivariant Graph Neural Networks Code
#9EQGAT
-5.28
logMAE
No paper
#10SEGNN
-5.27
logMAE· 2021-10-06
Geometric and Physical Quantities Improve E(3) Equivariant Message Passing Code