Graph Coarsening via Convolution Matching for Scalable Graph Neural Network Training

24 December 2023

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

6 / 6 papers shown

Title
Graph Coarsening with Message-Passing Guarantees Antonin Joly Nicolas Keriven 27 0 0 28 May 2024
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 34 7 0 22 May 2024
A Survey on Graph Condensation Hongjia Xu Liangliang Zhang Yao Ma Sheng Zhou Zhuonan Zheng Jiajun Bu 53 10 0 03 Feb 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 32 3 0 17 May 2023
Graph Condensation via Receptive Field Distribution Matching Mengyang Liu Shanchuan Li Xinshi Chen Le Song DD 71 45 0 28 Jun 2022
Dataset Condensation with Differentiable Siamese Augmentation Bo-Lu Zhao Hakan Bilen DD 194 288 0 16 Feb 2021