A Fractional Graph Laplacian Approach to Oversmoothing

22 May 2023

Papers citing "A Fractional Graph Laplacian Approach to Oversmoothing"

26 / 26 papers shown

Title
Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain Hyowon Wi Jeongwhan Choi Noseong Park 33 0 0 13 May 2025
Efficient Learning on Large Graphs using a Densifying Regularity Lemma Jonathan Kouchly Ben Finkelshtein M. Bronstein Ron Levie 39 0 0 25 Apr 2025
Simplifying Graph Convolutional Networks with Redundancy-Free Neighbors Jielong Lu Zhihao Wu Zhiling Cai Yueyang Pi Shiping Wang GNN 54 0 0 18 Apr 2025
Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks Ziqiang Liu Xiaoda Wang Bohan Wang Zijie Huang Carl Yang Wei-dong Jin AI4TS AI4CE 146 1 0 29 Mar 2025
On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning Alvaro Arroyo Alessio Gravina Benjamin Gutteridge Federico Barbero Claudio Gallicchio Xiaowen Dong Michael M. Bronstein P. Vandergheynst 42 2 0 15 Feb 2025
Unitary convolutions for learning on graphs and groups B. Kiani Lukas Fesser Melanie Weber GNN 40 1 0 07 Oct 2024
Dirac--Bianconi Graph Neural Networks -- Enabling Non-Diffusive Long-Range Graph Predictions Christian Nauck R. Gorantla M. Lindner Konstantin Schurholt Antonia S. J. S. Mey Frank Hellmann AI4CE 50 2 0 17 Jul 2024
Simplifying the Theory on Over-Smoothing Andreas Roth 48 3 0 16 Jul 2024
Foundations and Frontiers of Graph Learning Theory Yu Huang Min Zhou Menglin Yang Zhen Wang Muhan Zhang Jie Wang Hong Xie Hao Wang Defu Lian Enhong Chen AI4CE GNN 55 2 0 03 Jul 2024
Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND Qiyu Kang Kai Zhao Qinxu Ding Feng Ji Xuhao Li Wenfei Liang Yang Song Wee Peng Tay 43 8 0 26 Apr 2024
Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup Theory Weichen Zhao Chenguang Wang Xinyan Wang Congying Han Tiande Guo Tianshu Yu 44 0 0 23 Feb 2024
Gradient Flow of Energy: A General and Efficient Approach for Entity Alignment Decoding Yuanyi Wang Haifeng Sun Jingyu Wang Qi Qi Shaoling Sun Jianxin Liao 43 3 0 23 Jan 2024
On The Temporal Domain of Differential Equation Inspired Graph Neural Networks Moshe Eliasof E. Haber Eran Treister Carola-Bibiane Schönlieb AI4CE 27 2 0 20 Jan 2024
Rethinking Spectral Graph Neural Networks with Spatially Adaptive Filtering Jingwei Guo Kaizhu Huang Xinping Yi Zixian Su Rui Zhang 24 3 0 17 Jan 2024
Graph Convolutions Enrich the Self-Attention in Transformers! Jeongwhan Choi Hyowon Wi Jayoung Kim Yehjin Shin Kookjin Lee Nathaniel Trask Noseong Park 30 4 0 07 Dec 2023
Exposition on over-squashing problem on GNNs: Current Methods, Benchmarks and Challenges Dai Shi Andi Han Lequan Lin Yi Guo Junbin Gao 47 12 0 13 Nov 2023
Hetero $^2$ Net: Heterophily-aware Representation Learning on Heterogenerous Graphs Jintang Li Zheng Wei Jiawang Dan Jing Zhou Yuchang Zhu ... Zhang Zhen Changhua Meng Hong Jin Zibin Zheng Liang Chen 25 3 0 18 Oct 2023
From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond Andi Han Dai Shi Lequan Lin Junbin Gao AI4CE GNN 37 21 0 16 Oct 2023
Rank Collapse Causes Over-Smoothing and Over-Correlation in Graph Neural Networks Andreas Roth Thomas Liebig 41 12 0 31 Aug 2023
Feature Transportation Improves Graph Neural Networks Moshe Eliasof E. Haber Eran Treister GNN 53 11 0 29 Jul 2023
Edge Directionality Improves Learning on Heterophilic Graphs Emanuele Rossi Bertrand Charpentier Francesco Di Giovanni Fabrizio Frasca Stephan Günnemann Michael M. Bronstein 22 56 0 17 May 2023
A Simple Yet Effective SVD-GCN for Directed Graphs Chunya Zou Andi Han Lequan Lin Junbin Gao GNN 58 7 0 19 May 2022
Beyond Low-frequency Information in Graph Convolutional Networks Deyu Bo Xiao Wang C. Shi Huawei Shen GNN 94 561 0 04 Jan 2021
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 169 1,078 0 13 Feb 2020
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 148 837 0 28 Sep 2019
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 259 3,239 0 24 Nov 2016