Training Graph Neural Networks on Growing Stochastic Graphs

Training Graph Neural Networks on Growing Stochastic Graphs

27 October 2022

Alejandro Ribeiro

Papers citing "Training Graph Neural Networks on Growing Stochastic Graphs"

7 / 7 papers shown

Title
Generalization of Geometric Graph Neural Networks Zhiyang Wang J. Cerviño Alejandro Ribeiro 30 2 0 08 Sep 2024
Distributed Training of Large Graph Neural Networks with Variable Communication Rates J. Cerviño Md Asadullah Turja Hesham Mostafa N. Himayat Alejandro Ribeiro GNN AI4CE 49 0 0 25 Jun 2024
Limited Communications Distributed Optimization via Deep Unfolded Distributed ADMM Yoav Noah Nir Shlezinger 25 4 0 21 Sep 2023
Activation Compression of Graph Neural Networks using Block-wise Quantization with Improved Variance Minimization Sebastian Eliassen Raghavendra Selvan GNN 22 3 0 21 Sep 2023
Graph Neural Tangent Kernel: Convergence on Large Graphs Sanjukta Krishnagopal Luana Ruiz 22 8 0 25 Jan 2023
Convolutional Neural Network Architectures for Signals Supported on Graphs Fernando Gama A. Marques G. Leus Alejandro Ribeiro 132 285 0 01 May 2018
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 241 3,236 0 24 Nov 2016