Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2002.07684
Cited By
A Lagrangian Approach to Information Propagation in Graph Neural Networks
18 February 2020
Matteo Tiezzi
G. Marra
S. Melacci
Marco Maggini
Marco Gori
GNN
Re-assign community
ArXiv
PDF
HTML
Papers citing
"A Lagrangian Approach to Information Propagation in Graph Neural Networks"
4 / 4 papers shown
Title
Forward Learning of Graph Neural Networks
Namyong Park
Xing Wang
Antoine Simoulin
Shuai Yang
Grey Yang
Ryan Rossi
Puja Trivedi
Nesreen K. Ahmed
GNN
47
1
0
16 Mar 2024
High Performance of Gradient Boosting in Binding Affinity Prediction
Dmitrii Gavrilev
Nurlybek Amangeldiuly
Sergei Ivanov
Evgeny Burnaev
AI4CE
35
2
0
14 May 2022
Graph Neural Networks for Graph Drawing
Matteo Tiezzi
Gabriele Ciravegna
Marco Gori
26
20
0
21 Sep 2021
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
264
3,243
0
24 Nov 2016
1