2 papers
cs.LG2026
GILT: An LLM-Free, Tuning-Free Graph Foundational Model for In-Context Learning
Weishuo Ma, Yanbo Wang, Xiyuan Wang +2
Graph Neural Networks (GNNs) are powerful tools for processing relational data but often struggle to generalize to unseen graphs, giving rise to the development of Graph Foundation…
cs.DB2026
Crane: An Accurate and Scalable Neural Sketch for Graph Stream Summarization
Boyan Wang, Zhuochen Fan, Dayu Wang +5
Graph streams are rapidly evolving sequences of edges that convey continuously changing relationships among entities, playing a crucial role in domains such as networking, finance,…