Molecular Property Prediction On Qm7

Metrics

MAE

Results

Performance results of various models on this benchmark

		Paper Title
PretrainGNN	113.2	Strategies for Pre-training Graph Neural Networks
D-MPNN	103.5	Analyzing Learned Molecular Representations for Property Prediction
GROVER (base)	94.5	Self-Supervised Graph Transformer on Large-Scale Molecular Data
N-GramRF	92.8	N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules
GROVER (large)	92.0	Self-Supervised Graph Transformer on Large-Scale Molecular Data
N-GramXGB	81.9	N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules
ChemRL-GEM	58.9	ChemRL-GEM: Geometry Enhanced Molecular Representation Learning for Property Prediction
Uni-Mol	41.8	Uni-Mol: A Universal 3D Molecular Representation Learning Framework

0 of 8 row(s) selected.

Molecular Property Prediction On Qm7

Metrics

MAE

Results

Performance results of various models on this benchmark

		Paper Title
PretrainGNN	113.2	Strategies for Pre-training Graph Neural Networks
D-MPNN	103.5	Analyzing Learned Molecular Representations for Property Prediction
GROVER (base)	94.5	Self-Supervised Graph Transformer on Large-Scale Molecular Data
N-GramRF	92.8	N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules
GROVER (large)	92.0	Self-Supervised Graph Transformer on Large-Scale Molecular Data
N-GramXGB	81.9	N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules
ChemRL-GEM	58.9	ChemRL-GEM: Geometry Enhanced Molecular Representation Learning for Property Prediction
Uni-Mol	41.8	Uni-Mol: A Universal 3D Molecular Representation Learning Framework

0 of 8 row(s) selected.

Molecular Property Prediction On Qm7 | SOTA | HyperAI