Graph Neural Ordinary Differential Equations

18 November 2019

Junyoung Park

Jinkyoo Park

Papers citing "Graph Neural Ordinary Differential Equations"

50 / 109 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 105 1 0 29 Mar 2025
Efficient Training of Neural Fractional-Order Differential Equation via Adjoint Backpropagation Qiyu Kang Xuhao Li Kai Zhao Wenjun Cui Yanan Zhao Weihua Deng Wee Peng Tay 43 1 0 20 Mar 2025
Statistical physics analysis of graph neural networks: Approaching optimality in the contextual stochastic block model O. Duranthon L. Zdeborová 41 0 0 03 Mar 2025
WaveGAS: Waveform Relaxation for Scaling Graph Neural Networks Jana Vatter Mykhaylo Zayats Marcos Martínez Galindo V. López R. Mayer Hans-Arno Jacobsen Hoang Thanh Lam GNN 43 0 0 27 Feb 2025
UniGO: A Unified Graph Neural Network for Modeling Opinion Dynamics on Graphs Hao Li Hao Jiang Yuke Zheng Hao Sun Wenying Gong 31 0 0 17 Feb 2025
GraphMinNet: Learning Dependencies in Graphs with Light Complexity Minimal Architecture Md. Atik Ahamed Andrew Cheng Q. Ye Q. Cheng GNN 51 0 0 01 Feb 2025
Understanding Oversmoothing in GNNs as Consensus in Opinion Dynamics Keqin Wang Yulong Yang Ishan Saha Christine Allen-Blanchette 51 1 0 31 Jan 2025
S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain Rui Xia Yanhua Cheng Yongxiang Tang Xiaocheng Liu Xialong Liu Lisong Wang Peng Jiang DiffM 33 0 0 03 Jan 2025
Point Cloud Denoising With Fine-Granularity Dynamic Graph Convolutional Networks Wenqiang Xu Wenrui Dai Duoduo Xue Ziyang Zheng Chenglin Li Junni Zou Hongkai Xiong 3DPC 75 0 0 21 Nov 2024
ControlSynth Neural ODEs: Modeling Dynamical Systems with Guaranteed Convergence Wenjie Mei Dongzhe Zheng Shihua Li AI4CE 29 2 0 04 Nov 2024
Spatial Shortcuts in Graph Neural Controlled Differential Equations Michael Detzel Gabriel Nobis Jackie Ma Wojciech Samek 29 0 0 25 Oct 2024
Spiking Graph Neural Network on Riemannian Manifolds Li Sun Zhenhao Huang Qiqi Wan Hao Peng Philip S. Yu GNN AI4CE 27 1 0 23 Oct 2024
Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series Giangiacomo Mercatali André Freitas Jie Chen BDL CML AI4TS 26 1 0 17 Oct 2024
IGNN-Solver: A Graph Neural Solver for Implicit Graph Neural Networks Junchao Lin Zenan Ling Zhanbo Feng Feng Zhou Jingwen Xu Feng Zhou Tianqi Hou Zhenyu Liao Robert C. Qiu GNN AI4CE 48 0 0 11 Oct 2024
Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling Zijie Huang Wanjia Zhao Jingdong Gao Ziniu Hu Xiao Luo Yadi Cao Yuanzhou Chen Yizhou Sun Wei Wang PINN AI4CE 22 1 0 08 Oct 2024
Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph Guancheng Wan Zewen Liu Max S. Y. Lau B. A. Prakash Wei Jin 81 7 0 28 Sep 2024
Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equations Richard Bergna Sergio Calvo-Ordoñez Felix L. Opolka Pietro Liò Jose Miguel Hernandez-Lobato BDL 39 2 0 28 Aug 2024
Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation Weizhi Zhang Liangwei Yang Zihe Song Henry Peng Zou Ke Xu Liancheng Fang Philip S. Yu GNN 23 1 0 26 Jul 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 42 2 0 17 Jul 2024
Exponential time differencing for matrix-valued dynamical systems Nayef Shkeir Tobias Schäfer T. Grafke 30 0 0 19 Jun 2024
Topological Neural Networks go Persistent, Equivariant, and Continuous Yogesh Verma Amauri H Souza Vikas K. Garg AI4CE 38 4 0 05 Jun 2024
Long Range Propagation on Continuous-Time Dynamic Graphs Alessio Gravina Giulio Lovisotto Claudio Gallicchio Davide Bacciu Claas Grohnfeldt AI4TS 36 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 34 0 0 03 Jun 2024
Integrating GNN and Neural ODEs for Estimating Two-Body Interactions in Mixed-Species Collective Motion Masahito Uwamichi S. Schnyder Tetsuya J. Kobayashi Satoshi Sawai 15 0 0 26 May 2024
Temporal Graph ODEs for Irregularly-Sampled Time Series Alessio Gravina Daniele Zambon Davide Bacciu C. Alippi AI4TS CML 23 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 41 8 0 26 Apr 2024
Liquid-Graph Time-Constant Network for Multi-Agent Systems Control Antonio Marino C. Pacchierotti P. Giordano 32 1 0 22 Apr 2024
ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs Yogesh Verma Markus Heinonen Vikas K. Garg AI4CE 26 26 0 15 Apr 2024
Continuous Spiking Graph Neural Networks Nan Yin Mengzhu Wang Li Shen Hitesh Laxmichand Patel Baopu Li Bin Gu Huan Xiong GNN 29 10 0 02 Apr 2024
A Review of Graph Neural Networks in Epidemic Modeling Zewen Liu Guancheng Wan B. A. Prakash Max S. Y. Lau Wei-dong Jin AI4CE 34 38 0 28 Mar 2024
Convection-Diffusion Equation: A Theoretically Certified Framework for Neural Networks Tangjun Wang Chenglong Bao Zuoqiang Shi DiffM 36 0 0 23 Mar 2024
Towards Scene Graph Anticipation Rohith Peddi Saksham Singh Saurabh Parag Singla Vibhav Gogate 32 0 0 07 Mar 2024
Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems Zijie Huang Jeehyun Hwang Junkai Zhang Jinwoo Baik Weitong Zhang Dominik Wodarz Yizhou Sun Q. Gu Wei Wang CML AI4CE 44 4 0 29 Feb 2024
Hybrid $^2$ Neural ODE Causal Modeling and an Application to Glycemic Response Bob Junyi Zou Matthew E. Levine D. Zaharieva Ramesh Johari Emily Fox 33 4 0 27 Feb 2024
Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs M. Hanik Gabriele Steidl C. V. Tycowicz GNN MedIm 23 3 0 25 Jan 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
Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study Qiyu Kang Kai Zhao Yang Song Yihang Xie Yanan Zhao Sijie Wang Rui She Wee Peng Tay 13 6 0 09 Jan 2024
RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation Jeongwhan Choi Hyowon Wi C. Lee Sung-Bae Cho Dongha Lee Noseong Park DiffM 36 2 0 27 Dec 2023
Signed Graph Neural Ordinary Differential Equation for Modeling Continuous-time Dynamics Lanlan Chen K. Wu Jian Lou Jing Liu 21 5 0 18 Dec 2023
Graph Neural Ordinary Differential Equations-based method for Collaborative Filtering Ke Xu Yuanjie Zhu Weizhi Zhang Philip S. Yu BDL GNN 18 4 0 21 Nov 2023
PGODE: Towards High-quality System Dynamics Modeling Xiao Luo Yiyang Gu Huiyu Jiang Hang Zhou Jinsheng Huang Wei Ju Zhiping Xiao Ming Zhang Yizhou Sun AI4CE 32 6 0 11 Nov 2023
Learning Efficient Surrogate Dynamic Models with Graph Spline Networks Chuanbo Hua Federico Berto Michael Poli Stefano Massaroli Jinkyoo Park AI4TS AI4CE 19 2 0 25 Oct 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
TANGO: Time-Reversal Latent GraphODE for Multi-Agent Dynamical Systems Zijie Huang Wanjia Zhao Jingdong Gao Ziniu Hu Xiao Luo Yadi Cao Yuanzhou Chen Yizhou Sun Wei Wang AI4CE 31 5 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 23 1 0 02 Oct 2023
SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases Yang Liu Jiashun Cheng Haihong Zhao Tingyang Xu P. Zhao Fugee Tsung Jia Li Yu Rong AI4CE 30 18 0 25 Aug 2023
Graph Neural Stochastic Differential Equations Richard Bergna Felix L. Opolka Pietro Lio' Jose Miguel Hernandez-Lobato 16 2 0 23 Aug 2023
Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals Tingting Dan Jiaqi Ding Ziquan Wei S. Kovalsky Minjeong Kim Won Hwa Kim Guorong Wu DiffM 13 6 0 01 Jul 2023
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems Truong X. Nghiem Ján Drgoňa Colin N. Jones Zoltán Nagy Roland Schwan ... J. Paulson Andrea Carron M. Zeilinger Wenceslao Shaw-Cortez D. Vrabie PINN AI4CE 32 30 0 24 Jun 2023
CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems Song Jiang Zijie Huang Xiao Luo Yizhou Sun CML 21 14 0 20 Jun 2023