3 papers
cs.LG2026
CoFEND: A Cross-Modal Fusion End-to-End Network for Cold-Start Drug-Drug Interaction Prediction
Di Wu, Hongyi Sun, Haichao Xu +3
Cold-start drug-drug interaction (DDI) prediction for new drugs is critical for minimizing unexpected adverse drug reactions. The key challenge is to capture similarity between new…
cs.AI2026
SCGNN: Semantic Consistency enhanced Graph Neural Network Guided by Granular-ball Computing
Genhao Tian, Taihua Xu, Shuyin Xia +3
Capturing semantic consistency among nodes is crucial for effective graph representation learning. Existing approaches typically rely on -nearest neighbors (NN) or other node…
cs.LG2026
Graph Federated Unlearning for Privacy Preservation
Ruotong Ma, Wentao Yu, Qizhou Wang +2
Graph federated learning (GFL) facilitates decentralized training on distributed graph data while keeping sensitive user information local, aligning with policies such as GDPR and…