2 papers
q-bio.QM2025
Causal Inference, Biomarker Discovery, Graph Neural Network, Feature Selection
Chaowang Lan, Jingxin Wu, Yulong Yuan +3
Biomarker discovery from high-throughput transcriptomic data is crucial for advancing precision medicine. However, existing methods often neglect gene-gene regulatory relationships…
cs.LG2025
Learning Fair Graph Representations with Multi-view Information Bottleneck
Chuxun Liu, Debo Cheng, Qingfeng Chen +3
Graph neural networks (GNNs) excel on relational data by passing messages over node features and structure, but they can amplify training data biases, propagating discriminatory at…