ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1911.07532
  4. Cited By
Graph Neural Ordinary Differential Equations

Graph Neural Ordinary Differential Equations

18 November 2019
Michael Poli
Stefano Massaroli
Junyoung Park
Atsushi Yamashita
Hajime Asama
Jinkyoo Park
    AI4CE
ArXivPDFHTML

Papers citing "Graph Neural Ordinary Differential Equations"

9 / 109 papers shown
Title
Learning continuous-time PDEs from sparse data with graph neural
  networks
Learning continuous-time PDEs from sparse data with graph neural networks
V. Iakovlev
Markus Heinonen
Harri Lähdesmäki
AI4CE
19
68
0
16 Jun 2020
On Second Order Behaviour in Augmented Neural ODEs
On Second Order Behaviour in Augmented Neural ODEs
Alexander Norcliffe
Cristian Bodnar
Ben Day
Nikola Simidjievski
Pietro Lió
36
90
0
12 Jun 2020
Stable Neural Flows
Stable Neural Flows
Stefano Massaroli
Michael Poli
Michelangelo Bin
Jinkyoo Park
Atsushi Yamashita
Hajime Asama
46
31
0
18 Mar 2020
Dissecting Neural ODEs
Dissecting Neural ODEs
Stefano Massaroli
Michael Poli
Jinkyoo Park
Atsushi Yamashita
Hajime Asama
10
198
0
19 Feb 2020
Continuous Graph Neural Networks
Continuous Graph Neural Networks
Louis-Pascal Xhonneux
Meng Qu
Jian Tang
GNN
27
149
0
02 Dec 2019
Discrete and Continuous Deep Residual Learning Over Graphs
Discrete and Continuous Deep Residual Learning Over Graphs
Pedro H. C. Avelar
Anderson R. Tavares
Marco Gori
Luís C. Lamb
GNN
30
20
0
21 Nov 2019
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
276
1,944
0
09 Jun 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
251
1,811
0
25 Nov 2016
Recurrent Neural Networks for Multivariate Time Series with Missing
  Values
Recurrent Neural Networks for Multivariate Time Series with Missing Values
Zhengping Che
S. Purushotham
Kyunghyun Cho
David Sontag
Yan Liu
AI4TS
216
1,897
0
06 Jun 2016
Previous
123