Poster "graph foundation models" Papers

10 papers found

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

Li Sun, Zhenhao Huang, Ming Zhang et al.

NEURIPS 2025arXiv:2510.17457
1
citations

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

Lei Liu, Xingyu Xia, Qianqian Xie et al.

NEURIPS 2025

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

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

NEURIPS 2025arXiv:2506.14291
12
citations

Flatten Graphs as Sequences: Transformers are Scalable Graph Generators

Dexiong Chen, Markus Krimmel, Karsten Borgwardt

NEURIPS 2025arXiv:2502.02216
4
citations

GOFA: A Generative One-For-All Model for Joint Graph Language Modeling

Lecheng Kong, Jiarui Feng, Hao Liu et al.

ICLR 2025arXiv:2407.09709
30
citations

GraphGPT: Generative Pre-trained Graph Eulerian Transformer

Qifang Zhao, Weidong Ren, Tianyu Li et al.

ICML 2025arXiv:2401.00529
11
citations

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

Haonan Yuan, Qingyun Sun, Junhua Shi et al.

NEURIPS 2025arXiv:2511.05592
4
citations

How Much Can Transfer? BRIDGE: Bounded Multi-Domain Graph Foundation Model with Generalization Guarantees

Haonan Yuan, Qingyun Sun, Junhua Shi et al.

ICML 2025
10
citations

Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment

Shuo Wang, Bokui Wang, Zhixiang Shen et al.

ICML 2025arXiv:2502.02017
19
citations

The Underappreciated Power of Vision Models for Graph Structural Understanding

Xinjian Zhao, Wei Pang, Zhongkai Xue et al.

NEURIPS 2025arXiv:2510.24788
2
citations