NEURIPS 2025 "oversquashing problem" Papers

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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

Sketch-Augmented Features Improve Learning Long-Range Dependencies in Graph Neural Networks

Ryien Hosseini, Filippo Simini, Venkatram Vishwanath et al.

NEURIPS 2025posterarXiv:2511.03824