2 papers
cs.SI2026
Generative Learning on Dynamic Text-Attributed Graphs
Zhenyu Yang, Yuhong Chen, Binli Luo +4
Dynamic text-attributed graphs capture evolving interactions among entities with rich textual information, but future-link prediction remains difficult when nodes have little inter…
cs.LG2026
Rethinking Message Passing as Retrieval for Text-Attributed Graph Learning
Jintang Li, Yuhong Chen, Ruofan Wu +4
Graph neural networks (GNNs) are typically conceptualized as message-passing neural networks, yet it remains unclear why neighborhood aggregation reliably outperforms node-wise mul…