3 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.LG2026
Federated Graph Retrieval-Augmented Generation
Xiaobao Wang, Renda Han, Zhiliang Xia +3
Graph Retrieval-Augmented Generation (GraphRAG) leverages centralized knowledge graphs to enhance large language models with structured knowledge retrieval. However, real-world kno…
cs.LG2025
SPHENIC: Topology-Aware Multi-View Clustering for Spatial Transcriptomics
Chenkai Guo, Yikai Zhu, Renxiang Guan +5
Spatial transcriptomics clustering is pivotal for identifying cell subpopulations by leveraging spatial location information. While recent graph-based methods modeling cell-cell in…
q-bio.GN2023★ 3 cited
Single-cell Multi-view Clustering via Community Detection with Unknown Number of Clusters
Dayu Hu, Zhibin Dong, Ke Liang +3
Single-cell multi-view clustering enables the exploration of cellular heterogeneity within the same cell from different views. Despite the development of several multi-view cluster…