1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.SI2025
Masked Language Models are Good Heterogeneous Graph Generalizers
Jinyu Yang, Cheng Yang, Shanyuan Cui +5
Heterogeneous graph neural networks (HGNNs) excel at capturing structural and semantic information in heterogeneous graphs (HGs), while struggling to generalize across domains and…
cs.CL2025★ 1 cited
Towards Text-free Graph Foundation Models: Rethinking Multi-Domain Graph Contrastive Learning
Zihao Zhao, Xinlong Zhai, Jinyu Yang +1
Foundation models have achieved great success in natural language processing (NLP) and computer vision (CV). Their success largely stems from the ability to integrate multi-domain…