Poster "oversmoothing problem" Papers

4 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 2025arXiv:2510.17457
1
citations

Residual Connections and Normalization Can Provably Prevent Oversmoothing in GNNs

Michael Scholkemper, Xinyi Wu, Ali Jadbabaie et al.

ICLR 2025arXiv:2406.02997
23
citations

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

Ryien Hosseini, Filippo Simini, Venkatram Vishwanath et al.

NEURIPS 2025arXiv:2511.03824

Polynomial-based Self-Attention for Table Representation Learning

Jayoung Kim, Yehjin Shin, Jeongwhan Choi et al.

ICML 2024arXiv:2312.07753
3
citations