Graph Coarsening via Convolution Matching for Scalable Graph Neural
Network Training

Graph Coarsening via Convolution Matching for Scalable Graph Neural Network Training

24 December 2023

Charles Dickens

Aishwarya N. Reganti

Karthik Subbian

Papers citing "Graph Coarsening via Convolution Matching for Scalable Graph Neural Network Training"

10 / 10 papers shown

Title
Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition Xin Gao Tong Chen Wentao Zhang Junliang Yu Guanhua Ye Quoc Viet Hung Nguyen 71 7 0 22 May 2024
Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation Jiong Zhu Aishwarya N. Reganti E-Wen Huang Charles Dickens Nikhil S. Rao Karthik Subbian Danai Koutra GNN FedML 53 3 0 17 May 2023
Condensing Graphs via One-Step Gradient Matching Wei Jin Xianfeng Tang Haoming Jiang Zheng Li Danqing Zhang Jiliang Tang Bin Ying DD 47 107 0 15 Jun 2022
Learn Locally, Correct Globally: A Distributed Algorithm for Training Graph Neural Networks M. Ramezani Weilin Cong Mehrdad Mahdavi M. Kandemir A. Sivasubramaniam GNN 38 32 0 16 Nov 2021
Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 142 2,687 0 02 May 2020
Network Embedding: on Compression and Learning Esra Akbas M. E. Aktas GNN 21 9 0 05 Jul 2019
CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters Ron Levie Federico Monti Xavier Bresson M. Bronstein GNN 79 658 0 22 May 2017
Graph Summarization Methods and Applications: A Survey Yike Liu Tara Safavi A. Dighe Danai Koutra 18 139 0 14 Dec 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering M. Defferrard Xavier Bresson P. Vandergheynst GNN 189 7,622 0 30 Jun 2016
Spectral Networks and Locally Connected Networks on Graphs Joan Bruna Wojciech Zaremba Arthur Szlam Yann LeCun GNN 66 4,856 0 21 Dec 2013