AINeutralarXiv – CS AI · Jun 86/10
🧠
CHoE: Cross-Domain Heterogeneous Graph Prompt Learning via Structure-Conditioned Experts
Researchers introduce CHoE, a cross-domain heterogeneous graph prompt learning method that addresses the limitation of existing approaches failing when pre-training and downstream task data come from different distributions. Using structure-conditioned experts and intelligent routing mechanisms, CHoE improves performance in few-shot cross-domain applications, advancing the practical applicability of foundation models across heterogeneous graph settings.