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cs.LG2026
A Unified Graph Language Model for Multi-Domain Multi-Task Graph Alignment Instruction Tuning
Haibo Chen, Xin Wang, Jiaheng Chao +2
Leveraging Graph Neural Networks (GNNs) as graph encoders and aligning the resulting representations with Large Language Models (LLMs) through alignment instruction tuning has beco…
cs.LG2026
Agentic AIs Are the Missing Paradigm for Out-of-Distribution Generalization in Foundation Models
Xin Wang, Haibo Chen, Wenxuan Liu +1
Foundation models (FMs) are increasingly deployed in open-world settings where distribution shift is the rule rather than the exception. The out-of-distribution (OOD) phenomena the…
cs.LG2026
Out-of-Distribution Generalization in Graph Foundation Models
Haoyang Li, Haibo Chen, Xin Wang +1
Graphs are a fundamental data structure for representing relational information in domains such as social networks, molecular systems, and knowledge graphs. However, graph learning…