3 papers
cs.LG2026
Decoupling and Damping: Structurally-Regularized Gradient Matching for Multimodal Graph Condensation
Lian Shen, Zhendan Chen, Meijia Song +4
In multimodal graph learning, graph structures that integrate information from multiple sources, such as vision and text, can more comprehensively model complex entity relationship…
cs.LG2025
DeepDR: an integrated deep-learning model web server for drug repositioning
Shuting Jin, Yi Jiang, Yimin Liu +5
Background: Identifying new indications for approved drugs is a complex and time-consuming process that requires extensive knowledge of pharmacology, clinical data, and advanced co…
cs.LG2025
LOHA: Direct Graph Spectral Contrastive Learning Between Low-pass and High-pass Views
Ziyun Zou, Yinghui Jiang, Lian Shen +2
Spectral Graph Neural Networks effectively handle graphs with different homophily levels, with low-pass filter mining feature smoothness and high-pass filter capturing differences.…