GraphZoom: A multi-level spectral approach for accurate and scalable graph embedding

6 October 2019

Papers citing "GraphZoom: A multi-level spectral approach for accurate and scalable graph embedding"

21 / 21 papers shown

Title
Scalable Graph Compressed Convolutions Junshu Sun Chen Yang Shuhui Wang Qingming Huang GNN 53 0 0 26 Jul 2024
Efficient User Sequence Learning for Online Services via Compressed Graph Neural Networks Yucheng Wu Liyue Chen Yu Cheng Shuai Chen Jinyu Xu Leye Wang GNN 32 0 0 05 Jun 2024
Does Graph Distillation See Like Vision Dataset Counterpart? Beining Yang Kai Wang Qingyun Sun Cheng Ji Xingcheng Fu Hao Tang Yang You Jianxin Li DD 19 39 0 13 Oct 2023
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 42 12 0 13 Feb 2023
SF-SGL: Solver-Free Spectral Graph Learning from Linear Measurements Ying Zhang Zhiqiang Zhao Zhuo Feng 38 2 0 09 Feb 2023
HyperEF: Spectral Hypergraph Coarsening by Effective-Resistance Clustering Ali Aghdaei Zhuo Feng 25 8 0 26 Oct 2022
CAPER: Coarsen, Align, Project, Refine - A General Multilevel Framework for Network Alignment Jing Zhu Danai Koutra Mark Heimann 29 5 0 23 Aug 2022
GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks Chenhui Deng Xiuyu Li Zhuobo Feng Zhiru Zhang AAML 58 22 0 30 Jan 2022
Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods Derek Lim Felix Hohne Xiuyu Li Sijia Huang Vaishnavi Gupta Omkar Bhalerao Ser-Nam Lim 61 340 0 27 Oct 2021
Graph Condensation for Graph Neural Networks Wei Jin Lingxiao Zhao Shichang Zhang Yozen Liu Jiliang Tang Neil Shah DD AI4CE 37 148 0 14 Oct 2021
Scalable Graph Embedding LearningOn A Single GPU Azita Nouri Philip E. Davis P. Subedi M. Parashar GNN 36 1 0 13 Oct 2021
Local Augmentation for Graph Neural Networks Songtao Liu Rex Ying Hanze Dong Lanqing Li Tingyang Xu Yu Rong P. Zhao Junzhou Huang Dinghao Wu 45 91 0 08 Sep 2021
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu C. Aggarwal Chang-Tien Lu 53 18 0 21 Jul 2021
Hierarchical graph neural nets can capture long-range interactions Ladislav Rampášek Guy Wolf 27 12 0 15 Jul 2021
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks Kaixiong Zhou Xiao Shi Huang Daochen Zha Rui Chen Li Li Soo-Hyun Choi Xia Hu GNN AI4CE 38 114 0 06 Jul 2021
Graph coarsening: From scientific computing to machine learning Jie Chen Y. Saad Zecheng Zhang 33 39 0 22 Jun 2021
VersaGNN: a Versatile accelerator for Graph neural networks Feng Shi Yiqiao Jin Song-Chun Zhu GNN 58 17 0 04 May 2021
New Benchmarks for Learning on Non-Homophilous Graphs Derek Lim Xiuyu Li Felix Hohne Ser-Nam Lim 36 100 0 03 Apr 2021
Scalable Hypergraph Embedding System Sepideh Maleki Donya Saless Dennis Paul Wall K. Pingali GNN 21 5 0 09 Mar 2021
C-SAW: A Framework for Graph Sampling and Random Walk on GPUs Santosh Pandey Lingda Li A. Hoisie Xin Li Hang Liu 28 60 0 18 Sep 2020
Graph Clustering with Graph Neural Networks Anton Tsitsulin John Palowitch Bryan Perozzi Emmanuel Müller GNN AI4CE 34 259 0 30 Jun 2020