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Signed Graph Neural Ordinary Differential Equation for Modeling
  Continuous-time Dynamics

Signed Graph Neural Ordinary Differential Equation for Modeling Continuous-time Dynamics

18 December 2023
Lanlan Chen
K. Wu
Jian Lou
Jing Liu
ArXivPDFHTML

Papers citing "Signed Graph Neural Ordinary Differential Equation for Modeling Continuous-time Dynamics"

4 / 4 papers shown
Title
Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks
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
Community-Aware Temporal Walks: Parameter-Free Representation Learning on Continuous-Time Dynamic Graphs
Community-Aware Temporal Walks: Parameter-Free Representation Learning on Continuous-Time Dynamic Graphs
He Yu
J. Liu
31
0
0
21 Jan 2025
Integrating GNN and Neural ODEs for Estimating Two-Body Interactions in
  Mixed-Species Collective Motion
Integrating GNN and Neural ODEs for Estimating Two-Body Interactions in Mixed-Species Collective Motion
Masahito Uwamichi
S. Schnyder
Tetsuya J. Kobayashi
Satoshi Sawai
11
0
0
26 May 2024
Discrete Graph Structure Learning for Forecasting Multiple Time Series
Discrete Graph Structure Learning for Forecasting Multiple Time Series
Chao Shang
Jie Chen
J. Bi
CML
BDL
AI4TS
92
226
0
18 Jan 2021
1