Lianghao Xia

The ubiquity of text-attributed graph data has highlighted the need for graph learning models with exceptional generalization across diverse textual and structural contexts. Current approaches struggle to extract generalizable insights from heterogeneous graph data, requiring extensive fine-tunin...