Drug Discovery On Bace

AUC

评测结果

各个模型在此基准测试上的表现结果

模型名称	AUC	Paper Title	Repository
ContextPred	0.845	Strategies for Pre-training Graph Neural Networks	-
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	-
GIT-Mol(G+S)	0.8108	GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and Text	-
elEmBERT-V1	0.856	Structure to Property: Chemical Element Embeddings and a Deep Learning Approach for Accurate Prediction of Chemical Properties	-

0 of 6 row(s) selected.