Graph-Coupled Oscillator Networks

4 February 2022

Papers citing "Graph-Coupled Oscillator Networks"

50 / 71 papers shown

Title
Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks Z. Liu Xiaoda Wang Bohan Wang Zijie Huang Carl Yang Wei-dong Jin AI4TS AI4CE 44 0 0 29 Mar 2025
Channel-Attentive Graph Neural Networks Tuğrul Hasan Karabulut İnci M. Baytaş 31 0 0 01 Mar 2025
Artificial Kuramoto Oscillatory Neurons Takeru Miyato Sindy Lowe Andreas Geiger Max Welling AI4CE 65 6 0 17 Feb 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 31 2 0 15 Feb 2025
What makes a good feedforward computational graph? Alex Vitvitskyi J. G. Araújo Marc Lackenby Petar Velickovic 78 1 0 10 Feb 2025
A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Neural Networks Biswadeep Chakraborty H. Kumar Saibal Mukhopadhyay 75 1 0 10 Dec 2024
When Graph Neural Networks Meet Dynamic Mode Decomposition Dai Shi Lequan Lin Andi Han Zhiyong Wang Yi Guo Junbin Gao AI4CE 23 0 0 08 Oct 2024
Unitary convolutions for learning on graphs and groups B. Kiani Lukas Fesser Melanie Weber GNN 30 1 0 07 Oct 2024
Cayley Graph Propagation JJ Wilson Maya Bechler-Speicher Petar Veličković 24 4 0 04 Oct 2024
Oscillatory State-Space Models T. Konstantin Rusch Daniela Rus AI4TS 40 4 0 04 Oct 2024
Preventing Representational Rank Collapse in MPNNs by Splitting the Computational Graph Andreas Roth Franka Bause Nils M. Kriege Thomas Liebig 22 2 0 17 Sep 2024
Non-convolutional Graph Neural Networks Yuanqing Wang N. Scherer-Negenborn GNN 16 3 0 31 Jul 2024
Tackling Oversmoothing in GNN via Graph Sparsification: A Truss-based Approach Tanvir Hossain Khaled Mohammed Saifuddin Muhammad Ifte Khairul Islam Farhan Tanvir Esra Akbas 18 0 0 16 Jul 2024
Simplifying the Theory on Over-Smoothing Andreas Roth 35 1 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 43 2 0 03 Jul 2024
Bridging Smoothness and Approximation: Theoretical Insights into Over-Smoothing in Graph Neural Networks Guangrui Yang Jianfei Li Ming Li Han Feng Ding-Xuan Zhou 28 0 0 01 Jul 2024
Graph Neural Reaction Diffusion Models Moshe Eliasof Eldad Haber Eran Treister DiffM AI4CE 19 2 0 16 Jun 2024
Global-Local Graph Neural Networks for Node-Classification Moshe Eliasof Eran Treister 25 3 0 16 Jun 2024
Long Range Propagation on Continuous-Time Dynamic Graphs Alessio Gravina Giulio Lovisotto Claudio Gallicchio Davide Bacciu Claas Grohnfeldt AI4TS 31 6 0 04 Jun 2024
Continuous Geometry-Aware Graph Diffusion via Hyperbolic Neural PDE Jiaxu Liu Xinping Yi Sihao Wu Xiangyu Yin Tianle Zhang Xiaowei Huang Shi Jin 26 0 0 03 Jun 2024
Rough Transformers: Lightweight and Continuous Time Series Modelling through Signature Patching Fernando Moreno-Pino Alvaro Arroyo H. Waldon Xiaowen Dong Álvaro Cartea AI4TS 24 1 0 31 May 2024
ATNPA: A Unified View of Oversmoothing Alleviation in Graph Neural Networks Yufei Jin Xingquan Zhu 46 2 0 02 May 2024
Temporal Graph ODEs for Irregularly-Sampled Time Series Alessio Gravina Daniele Zambon Davide Bacciu C. Alippi AI4TS CML 18 3 0 30 Apr 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 33 8 0 26 Apr 2024
Continuous Spiking Graph Neural Networks Nan Yin Mengzhu Wang Li Shen Hitesh Laxmichand Patel Baopu Li Bin Gu Huan Xiong GNN 26 10 0 02 Apr 2024
Graph Neural Aggregation-diffusion with Metastability Kaiyuan Cui Xinyan Wang Zicheng Zhang Weichen Zhao 18 2 0 29 Mar 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 35 0 0 23 Feb 2024
On The Temporal Domain of Differential Equation Inspired Graph Neural Networks Moshe Eliasof E. Haber Eran Treister Carola-Bibiane Schönlieb AI4CE 19 2 0 20 Jan 2024
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching Federico Errica Henrik Christiansen Viktor Zaverkin Takashi Maruyama Mathias Niepert Francesco Alesiani 39 6 0 27 Dec 2023
Exposition on over-squashing problem on GNNs: Current Methods, Benchmarks and Challenges Dai Shi Andi Han Lequan Lin Yi Guo Junbin Gao 44 11 0 13 Nov 2023
Dirichlet Energy Enhancement of Graph Neural Networks by Framelet Augmentation Jialin Chen Yuelin Wang Cristian Bodnar Rex Ying Pietro Lió Yu Guang Wang 19 10 0 09 Nov 2023
From Coupled Oscillators to Graph Neural Networks: Reducing Over-smoothing via a Kuramoto Model-based Approach Tuan Nguyen Hirotada Honda Takashi Sano Vinh-Tiep Nguyen Shugo Nakamura Tan-Minh Nguyen 25 0 0 06 Nov 2023
From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond Andi Han Dai Shi Lequan Lin Junbin Gao AI4CE GNN 35 20 0 16 Oct 2023
Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach Kai Zhao Qiyu Kang Yang Song Rui She Sijie Wang Wee Peng Tay AAML 25 21 0 10 Oct 2023
A Unified View on Neural Message Passing with Opinion Dynamics for Social Networks Outongyi Lv Bingxin Zhou Jing Wang Xiang Xiao Weishu Zhao Lirong Zheng 15 1 0 02 Oct 2023
Mitigating Over-Smoothing and Over-Squashing using Augmentations of Forman-Ricci Curvature Lukas Fesser Melanie Weber 62 8 0 17 Sep 2023
Rank Collapse Causes Over-Smoothing and Over-Correlation in Graph Neural Networks Andreas Roth Thomas Liebig 22 11 0 31 Aug 2023
Neural oscillators for magnetic hysteresis modeling Abhishek Chandra Taniya Kapoor B. Daniels M. Curti K. Tiels D. Tartakovsky E. Lomonova 14 2 0 23 Aug 2023
Deep learning for dynamic graphs: models and benchmarks Alessio Gravina D. Bacciu GNN AI4CE 24 11 0 12 Jul 2023
Modeling Graphs Beyond Hyperbolic: Graph Neural Networks in Symmetric Positive Definite Matrices Weichen Zhao Federico López J. M. Riestenberg Michael Strube Diaaeldin Taha Steve J. Trettel 10 7 0 24 Jun 2023
How does over-squashing affect the power of GNNs? Francesco Di Giovanni T. Konstantin Rusch Michael M. Bronstein Andreea Deac Marc Lackenby Siddhartha Mishra Petar Velivcković 15 33 0 06 Jun 2023
Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks Qiyu Kang Kai Zhao Yang Song Sijie Wang Wee Peng Tay 11 12 0 30 May 2023
Graph Neural Convection-Diffusion with Heterophily Kai Zhao Qiyu Kang Yang Song Rui She Sijie Wang Wee Peng Tay 20 27 0 26 May 2023
Demystifying Oversmoothing in Attention-Based Graph Neural Networks Xinyi Wu A. Ajorlou Zihui Wu Ali Jadbabaie 11 33 0 25 May 2023
Reversible and irreversible bracket-based dynamics for deep graph neural networks A. Gruber Kookjin Lee N. Trask AI4CE 9 9 0 24 May 2023
A Fractional Graph Laplacian Approach to Oversmoothing Sohir Maskey Raffaele Paolino Aras Bacho Gitta Kutyniok 20 27 0 22 May 2023
Neural Oscillators are Universal S. Lanthaler T. Konstantin Rusch Siddhartha Mishra 19 6 0 15 May 2023
Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks Feng Ji See Hian Lee Hanyang Meng Kai Zhao Jielong Yang Wee Peng Tay 33 12 0 29 Apr 2023
Distributional Signals for Node Classification in Graph Neural Networks Feng Ji See Hian Lee Kai Zhao Wee Peng Tay Jielong Yang 8 2 0 07 Apr 2023
A Survey on Oversmoothing in Graph Neural Networks T. Konstantin Rusch Michael M. Bronstein Siddhartha Mishra 14 184 0 20 Mar 2023