Molecular Property Prediction On Qm8

Métriques

MAE

Résultats

Résultats de performance de divers modèles sur ce benchmark

		Paper Title
N-GramRF	0.0236	N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules
GROVER (large)	0.0224	Self-Supervised Graph Transformer on Large-Scale Molecular Data
GROVER (base)	0.0218	Self-Supervised Graph Transformer on Large-Scale Molecular Data
N-GramXGB	0.0215	N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules
PretrainGNN	0.0200	Strategies for Pre-training Graph Neural Networks
D-MPNN	0.0190	Analyzing Learned Molecular Representations for Property Prediction
ChemRL-GEM	0.0171	ChemRL-GEM: Geometry Enhanced Molecular Representation Learning for Property Prediction
Uni-Mol	0.0156	Uni-Mol: A Universal 3D Molecular Representation Learning Framework

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