NEURIPS Poster "graph foundation models" Papers

6 papers found

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Deeper with Riemannian Geometry: Overcoming Oversmoothing and Oversquashing for Graph Foundation Models

Li Sun, Zhenhao Huang, Ming Zhang et al.

NEURIPS 2025posterarXiv:2510.17457
1
citations

Enhanced Expert Merging for Mixture-of-Experts in Graph Foundation Models

Lei Liu, Xingyu Xia, Qianqian Xie et al.

NEURIPS 2025poster

Equivariance Everywhere All At Once: A Recipe for Graph Foundation Models

Ben Finkelshtein, Ismail Ilkan Ceylan, Michael Bronstein et al.

NEURIPS 2025posterarXiv:2506.14291
10
citations

Flatten Graphs as Sequences: Transformers are Scalable Graph Generators

Dexiong Chen, Markus Krimmel, Karsten Borgwardt

NEURIPS 2025posterarXiv:2502.02216
4
citations

GRAVER: Generative Graph Vocabularies for Robust Graph Foundation Models Fine-tuning

Haonan Yuan, Qingyun Sun, Junhua Shi et al.

NEURIPS 2025posterarXiv:2511.05592
3
citations

The Underappreciated Power of Vision Models for Graph Structural Understanding

Xinjian Zhao, Wei Pang, Zhongkai Xue et al.

NEURIPS 2025posterarXiv:2510.24788
1
citations