Deep Constraint-based Propagation in Graph Neural Networks

5 May 2020

Papers citing "Deep Constraint-based Propagation in Graph Neural Networks"

7 / 7 papers shown

Title
PARTIME: Scalable and Parallel Processing Over Time with Deep Neural Networks Enrico Meloni Lapo Faggi Simone Marullo Alessandro Betti Matteo Tiezzi Marco Gori S. Melacci GNN AI4TS 11 1 0 17 Oct 2022
Graph Neural Networks for Graph Drawing Matteo Tiezzi Gabriele Ciravegna Marco Gori 21 20 0 21 Sep 2021
Graph Decoupling Attention Markov Networks for Semi-supervised Graph Node Classification Jie Chen Shouzhen Chen Mingyuan Bai Jian Pu Junping Zhang Junbin Gao 34 21 0 28 Apr 2021
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 186 913 0 02 Mar 2020
Convolutional Neural Network Architectures for Signals Supported on Graphs Fernando Gama A. Marques G. Leus Alejandro Ribeiro 122 285 0 01 May 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 234 1,811 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 236 3,230 0 24 Nov 2016