Drug Discovery On Bace

AUC

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

		Paper Title
TrimNet	0.878	TrimNet: learning molecular representation from triplet messages for biomedicine
Ensemble locally constant network	0.874	Oblique Decision Trees from Derivatives of ReLU Networks
ProtoW-L2	0.873	Optimal Transport Graph Neural Networks
elEmBERT-V1	0.856	Structure to Property: Chemical Element Embeddings and a Deep Learning Approach for Accurate Prediction of Chemical Properties
ContextPred	0.845	Strategies for Pre-training Graph Neural Networks
GIT-Mol(G+S)	0.8108	GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and Text

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