Spectrally approximating large graphs with smaller graphs

21 February 2018

Papers citing "Spectrally approximating large graphs with smaller graphs"

17 / 17 papers shown

Title
Inference-friendly Graph Compression for Graph Neural Networks Yangxin Fan Haolai Che Yinghui Wu GNN 62 0 0 17 Apr 2025
Graph Condensation: A Survey Xin Gao Junliang Yu Wei Jiang Tong Chen Wentao Zhang Hongzhi Yin DD 93 19 0 28 Jan 2025
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
Accelerating Transformers with Spectrum-Preserving Token Merging Hoai-Chau Tran D. M. Nguyen Duy M. Nguyen Trung Thanh Nguyen Ngan Le Pengtao Xie Daniel Sonntag James Y. Zou Binh T. Nguyen Mathias Niepert 42 8 0 25 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 39 7 0 22 May 2024
Disentangled Condensation for Large-scale Graphs Zhenbang Xiao Shunyu Liu Yu Wang Tongya Zheng Mingli Song Mingli Song Tongya Zheng DD 81 6 0 18 Jan 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 17 38 0 13 Oct 2023
HyperEF: Spectral Hypergraph Coarsening by Effective-Resistance Clustering Ali Aghdaei Zhuo Feng 25 8 0 26 Oct 2022
A Unified Framework for Optimization-Based Graph Coarsening Manoj Kumar Anurag Sharma Surinder Kumar 21 11 0 02 Oct 2022
Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks Chuang Liu Xueqi Ma Yinbing Zhan Liang Ding Dapeng Tao Bo Du Wenbin Hu Danilo P. Mandic 39 28 0 18 Jul 2022
SQALER: Scaling Question Answering by Decoupling Multi-Hop and Logical Reasoning Mattia Atzeni Jasmina Bogojeska Andreas Loukas ReLM LRM 27 15 0 27 Oct 2021
Graph Condensation for Graph Neural Networks Wei Jin Lingxiao Zhao Shichang Zhang Yozen Liu Jiliang Tang Neil Shah DD AI4CE 27 147 0 14 Oct 2021
COPT: Coordinated Optimal Transport for Graph Sketching Yihe Dong W. Sawin OT 43 26 0 09 Mar 2020
Human Action Recognition with Multi-Laplacian Graph Convolutional Networks A. Mazari H. Sahbi GNN 29 5 0 15 Oct 2019
A graphical heuristic for reduction and partitioning of large datasets for scalable supervised training Sumedh Yadav Mathis Bode 17 3 0 24 Jul 2019
Solving graph compression via optimal transport Vikas K. Garg Tommi Jaakkola OT 18 16 0 29 May 2019
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 259 3,239 0 24 Nov 2016