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cs.LG2026
LLM as Graph Kernel: Rethinking Message Passing on Text-Rich Graphs
Ying Zhang, Hang Yu, Haipeng Zhang +1
Text-rich graphs, which integrate complex structural dependencies with abundant textual information, are ubiquitous yet remain challenging for existing learning paradigms. Conventi…
cs.LG2024
DUPLEX: Dual GAT for Complex Embedding of Directed Graphs
Zhaoru Ke, Hang Yu, Jianguo Li +1
Current directed graph embedding methods build upon undirected techniques but often inadequately capture directed edge information, leading to challenges such as: (1) Suboptimal re…