Xingyu Xia

Enhanced Expert Merging for Mixture-of-Experts in Graph Foundation Models

Graph foundation models (GFMs) have emerged as a promising paradigm for learning transferable knowledge across diverse graph-structured data. The inherent heterogeneity in features and graph structures poses significant challenges for building scalable and generalizable GFMs. Existing research has e…