Drug Discovery On Lit Pcba Kat2A

AUC

Results

Performance results of various models on this benchmark

		Paper Title
EGT+TGT-At-DP	0.746	Triplet Interaction Improves Graph Transformers: Accurate Molecular Graph Learning with Triplet Graph Transformers
GLAM	0.709	An adaptive graph learning method for automated molecular interactions and properties predictions
TransformerCPI	0.650	TransformerCPI: improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments
DGraphDTA	0.633	Drug–target affinity prediction using graph neural network and contact maps

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