KG-LLM Integration

LogosKG: Hardware-Optimized Scalable and Interpretable Knowledge Graph Retrieval
Project theme: Enabling scalable, interpretable multi-hop retrieval over large biomedical knowledge graphs as a foundation for trustworthy KG-LLM integration. Lead: This project was led by He Cheng, Postdoctoral Researcher at the LARK Lab.
Jun 9, 2026
LogosKG: Hardware-Optimized Scalable and Interpretable Knowledge Graph Retrieval