CHoE: Cross-Domain Heterogeneous Graph Prompt Learning via Structure-Conditioned Experts 事件

CHoE: Cross-Domain Heterogeneous Graph Prompt Learning via Structure-Conditioned Experts arXiv:2605.15888v2 Announce Type: replace-cross Abstract: Heterogeneous Graph Prompt Learning (HGPL)has emerged as a promising paradigm for bridging the gap between the objectives of pre-training foundation models and their downstream applications in heterogeneous graph settings. However, existing HGPL methods are primarily designed for in-domain scenarios, whereas real-world deployments often span multiple