Neural Dynamics on Complex Networks

18 August 2019

Papers citing "Neural Dynamics on Complex Networks"

31 / 31 papers shown

Title
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 167 1 0 29 Mar 2025
UniGO: A Unified Graph Neural Network for Modeling Opinion Dynamics on Graphs Hao Li Hao Jiang Yuke Zheng Hao Sun Wenying Gong 38 0 0 17 Feb 2025
Learning Interpretable Network Dynamics via Universal Neural Symbolic Regression Jiao Hu Jiaxu Cui Bo Yang AI4CE 39 0 0 11 Nov 2024
Online Relational Inference for Evolving Multi-agent Interacting Systems Beomseok Kang Priyabrata Saha Sudarshan Sharma Biswadeep Chakraborty Saibal Mukhopadhyay OffRL 32 1 0 03 Nov 2024
Graph Fourier Neural ODEs: Modeling Spatial-temporal Multi-scales in Molecular Dynamics Fang Sun Zijie Huang Haixin Wang Yadi Cao Xiao Luo Wei Wang Yizhou Sun AI4CE 42 0 0 03 Nov 2024
Neural Symbolic Regression of Complex Network Dynamics Haiquan Qiu Shuzhi Liu Quanming Yao 32 1 0 15 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 27 1 0 08 Oct 2024
TDNetGen: Empowering Complex Network Resilience Prediction with Generative Augmentation of Topology and Dynamics Chang Liu Jingtao Ding Yiwen Song Yong Li AI4CE 31 3 0 19 Aug 2024
R-ODE: Ricci Curvature Tells When You Will be Informed Li Sun Jingbin Hu Mengjie Li Hao Peng 37 4 0 27 May 2024
Temporal Graph ODEs for Irregularly-Sampled Time Series Alessio Gravina Daniele Zambon Davide Bacciu Cesare Alippi AI4TS CML 28 4 0 30 Apr 2024
Learning Locally Interacting Discrete Dynamical Systems: Towards Data-Efficient and Scalable Prediction Beomseok Kang H. Kumar Minah Lee Biswadeep Chakraborty Saibal Mukhopadhyay AI4CE 51 5 0 09 Apr 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 49 4 0 29 Feb 2024
Artificial Intelligence for Complex Network: Potential, Methodology and Application Jingtao Ding Chang Liu Y. Zheng Yunke Zhang Zihan Yu ... Hongyi Chen J. Piao Huandong Wang Jiazhen Liu Yong Li AI4CE 38 11 0 23 Feb 2024
Signed Graph Neural Ordinary Differential Equation for Modeling Continuous-time Dynamics Lanlan Chen K. Wu Jian Lou Jing Liu 31 6 0 18 Dec 2023
Learning Continuous Network Emerging Dynamics from Scarce Observations via Data-Adaptive Stochastic Processes Jiaxu Cui Bing Sun Jiming Liu Bo Yang 20 1 0 25 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 36 5 0 10 Oct 2023
Generalizing Graph ODE for Learning Complex System Dynamics across Environments Zijie Huang Yizhou Sun Wei Wang CML OOD AI4CE 29 25 0 10 Jul 2023
CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems Song Jiang Zijie Huang Xiao Luo Yizhou Sun CML 25 14 0 20 Jun 2023
Learning the effective order of a hypergraph dynamical system Leonie Neuhäuser Michael Scholkemper Francesco Tudisco Michael T. Schaub 11 9 0 02 Jun 2023
Do We Need an Encoder-Decoder to Model Dynamical Systems on Networks? Bing-Quan Liu Wei Luo Gang Li Jing Huang Boxiong Yang AI4CE 26 5 0 20 May 2023
Leveraging Predictive Models for Adaptive Sampling of Spatiotemporal Fluid Processes Sandeep Manjanna Tom Z. Jiahao M. A. Hsieh 18 0 0 03 Apr 2023
Learning Dynamic Graph Embeddings with Neural Controlled Differential Equations Tiexin Qin Benjamin Walker Terry Lyons Hongfei Yan Haoliang Li BDL AI4CE 19 3 0 22 Feb 2023
Stretched and measured neural predictions of complex network dynamics V. Vasiliauskaite Nino Antulov-Fantulin 33 1 0 12 Jan 2023
Learning Modular Simulations for Homogeneous Systems Jayesh K. Gupta Sai H. Vemprala Ashish Kapoor 25 6 0 28 Oct 2022
Understanding convolution on graphs via energies Francesco Di Giovanni J. Rowbottom B. Chamberlain Thomas Markovich Michael M. Bronstein GNN 18 45 0 22 Jun 2022
Continuous Temporal Graph Networks for Event-Based Graph Data Jin Guo Zhen Han Zhou Su Jiliang Li Volker Tresp Yuyi Wang AI4CE 13 5 0 31 May 2022
Climate Modeling with Neural Diffusion Equations JeeHyun Hwang Jeongwhan Choi Hwan-Kyu Choi Kookjin Lee Dongeun Lee Noseong Park DiffM 29 22 0 11 Nov 2021
ConTIG: Continuous Representation Learning on Temporal Interaction Graphs Xu Yan Xiaoliang Fan Peizhen Yang Zonghan Wu Shirui Pan Longbiao Chen Yu Zang Cheng-Yu Wang 8 6 0 27 Sep 2021
Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting Sheo Yon Jhin H. Shin Seoyoung Hong Solhee Park Noseong Park AI4TS 27 22 0 04 Sep 2021
Knowledge-Based Learning of Nonlinear Dynamics and Chaos Tom Z. Jiahao M. Hsieh Eric Forgoston 21 31 0 07 Oct 2020
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 28 5,400 0 20 Dec 2018