Author

Yi Wang

h-index 1 View on Semantic Scholar

We have 3 of 7 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Preprint Jul 2026

Towards Multi-Label Graph Foundation Models: from Single-Vector Representation Learning to Multi-Semantic Basis Learning

Multi-label node classification is an important yet challenging task in graph learning, where nodes exhibit multiple semantics simultaneously. Existing methods for multi-label node classification can effectively model multiple labels, while only considering in-domain scenarios where the model needs to be trained and te...

Dongxiao He, Jiayu Zhang, Jitao Zhao et al. · 0 citations

Jul 2026

What Makes Graph Unified? Principles and Generative Sliding-Window Transformer for Graph Foundation Models

SliGFM is proposed, a graph foundation model built upon topology-aware sliding-window feature encoding and generative reconstruction that enables a smoothness-aware transformer to capture transferable relational patterns among feature tokens within each node, while the generative reconstruction objective encourages pre...

Dong-Xiao He, Siqi Liu, Ji-Tao Zhao et al. · arXiv.org · 0 citations

Jul 2026

Beyond Feature and Structure Alignment: Learning Transferable Propagation Knowledge for Graph Foundation Models

A Propagation-aware Graph Foundation Model (ProGFM), which regards the propagation relationships between edges and feature dimensions as transferable knowledge units, and exhibits superior generalization performance compared with existing methods.

Yi Wang, Jitao Zhao, Di Jin et al. · arXiv.org · 0 citations