Author

Lianze Shan

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Preprint Nov 2026

ReCoG: Relative Node Contexts for Multi-Domain Graph Pre-training

The success of foundation models in language and vision has motivated Graph Foundation Models (GFMs), which learn transferable knowledge through multi-domain graph pre-training. Existing methods advance GFMs through feature unification and structural learning, and in doing so they rely on the raw graph structure to org...

Yu-Peng Tong, Lianze Shan, Ji-Tao Zhao et al. · 0 citations

#machine learning Preprint Oct 2026

More Domains, No Gains? FLO: Fast-Slow Reciprocal Learning for Multi-Domain Graph Pre-training

Inspired by the great success of foundation models in the development of artificial general intelligence, Graph Foundation Models (GFMs) have recently attracted significant attention and have the potential to advance graph intelligence. Exhibiting such intelligence requires effectively learning knowledge from large-sca...

Yu-Peng Tong, Lianze Shan, Ji-Tao Zhao et al. · 0 citations