Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2002.07684
Cited By
v1
v2
v3 (latest)
A Lagrangian Approach to Information Propagation in Graph Neural Networks
European Conference on Artificial Intelligence (ECAI), 2020
18 February 2020
Matteo Tiezzi
G. Marra
S. Melacci
Marco Maggini
Marco Gori
GNN
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"A Lagrangian Approach to Information Propagation in Graph Neural Networks"
5 / 5 papers shown
Forward Learning of Graph Neural Networks
Namyong Park
Xing Wang
Antoine Simoulin
Shuai Yang
Grey Yang
Ryan Rossi
Puja Trivedi
Nesreen K. Ahmed
GNN
392
1
0
16 Mar 2024
High Performance of Gradient Boosting in Binding Affinity Prediction
Dmitrii Gavrilev
Nurlybek Amangeldiuly
Sergei Ivanov
Evgeny Burnaev
AI4CE
246
2
0
14 May 2022
Graph Neural Networks for Graph Drawing
Matteo Tiezzi
Gabriele Ciravegna
Marco Gori
232
39
0
21 Sep 2021
Convergent Graph Solvers
International Conference on Learning Representations (ICLR), 2021
Junyoung Park
J. Choo
Jinkyoo Park
196
17
0
03 Jun 2021
Deep Constraint-based Propagation in Graph Neural Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Matteo Tiezzi
G. Marra
S. Melacci
Marco Maggini
AI4CE
GNN
405
16
0
05 May 2020
1
Page 1 of 1
