Graph coarsening: From scientific computing to machine learning

22 June 2021

Papers citing "Graph coarsening: From scientific computing to machine learning"

7 / 7 papers shown

Title
Efficient Large-Scale Urban Parking Prediction: Graph Coarsening Based on Real-Time Parking Service Capability Yixuan Wang Zhenwu Chen Kangshuai Zhang Yunduan Cui Lei Peng Lei Peng GNN 24 0 0 05 Oct 2024
A Comprehensive Survey on Graph Summarization with Graph Neural Networks Nasrin Shabani Jia Wu Amin Beheshti Quan.Z Sheng Jin Foo Venus Haghighi Ambreen Hanif Maryam Shahabikargar GNN AI4TS 37 12 0 13 Feb 2023
HyperEF: Spectral Hypergraph Coarsening by Effective-Resistance Clustering Ali Aghdaei Zhuo Feng 15 8 0 26 Oct 2022
A Unified Framework for Optimization-Based Graph Coarsening Manoj Kumar Anurag Sharma Surinder Kumar 18 10 0 02 Oct 2022
Generalized Spectral Coarsening A. Keros Kartic Subr 16 0 0 04 Jul 2022
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 250 3,236 0 24 Nov 2016