2026
MDGMIX: Boundary-Aware Subgraph Mixing for Multi-Domain Graph Pre-Training
ICML 2026poster
Multi-domain graph pre-training is a crucial step in constructing foundational graph models with cross-domain generalization capabilities. However, existing methods predominantly rely on jointly training all source domain graphs, resulting in high computational costs. Furthermore, it remains unclear…