IEEE

DGCA-DTA: A Deep Graph Neural Network Based on Co-Attention for Drug Target Affinity Prediction

Abstract: Accurately predicting drug-target affinity (DTA) is a critical step in drug discovery and design. By utilizing deep learning methods for DTA prediction, the drug development cycle can be ...
IEEE

Multigranularity Deep Graph Convolutional Neural Network Node Clustering Leveraging Spatial Information

Abstract: In the era of information explosion, clustering analysis of graph-structured data and empty graph-structured data is of great significance for extracting the intrinsic value of data. From ...