MDGMIX: Boundary-Aware Subgraph Mixing for Multi-Domain Graph Pre-Training 事件

MDGMIX: Boundary-Aware Subgraph Mixing for Multi-Domain Graph Pre-Training arXiv:2605.25771v1 Announce Type: cross Abstract: 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 whether all source domain graph data contribute equally to effective tran