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cs.AI2025
GALAX: Graph-Augmented Language Model for Explainable Reinforcement-Guided Subgraph Reasoning in Precision Medicine
Heming Zhang, Di Huang, Wenyu Li +4
In precision medicine, quantitative multi-omic features, topological context, and textual biological knowledge play vital roles in identifying disease-critical signaling pathways a…
cs.AI2025★ 2 cited
OmniCellTOSG: The First Cell Text-Omic Signaling Graphs Dataset for Graph Language Foundation Modeling
Heming Zhang, Tim Xu, Dekang Cao +22
With the rapid growth of large-scale single-cell omic datasets, omic foundation models (FMs) have emerged as powerful tools for advancing research in life sciences and precision me…
cs.CL2025★ 1 cited
KoGNER: A Novel Framework for Knowledge Graph Distillation on Biomedical Named Entity Recognition
Heming Zhang, Wenyu Li, Di Huang +4
Named Entity Recognition (NER) is a fundamental task in Natural Language Processing (NLP) that plays a crucial role in information extraction, question answering, and knowledge-bas…