A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening,
and Condensation

A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation

29 January 2024

Mohammad Hashemi

Papers citing "A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation"

17 / 17 papers shown

Title
Inference-friendly Graph Compression for Graph Neural Networks Yangxin Fan Haolai Che Yinghui Wu GNN 59 0 0 17 Apr 2025
Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks Ziqiang Liu Xiaoda Wang Bohan Wang Zijie Huang Carl Yang Wei-dong Jin AI4TS AI4CE 146 1 0 29 Mar 2025
Recent Advances in Malware Detection: Graph Learning and Explainability Hossein Shokouhinejad Roozbeh Razavi-Far Hesamodin Mohammadian Mahdi Rabbani Samuel Ansong Griffin Higgins Ali Ghorbani AAML 76 2 0 14 Feb 2025
Graph Condensation: A Survey Xin Gao Junliang Yu Wei Jiang Tong Chen Wentao Zhang Hongzhi Yin DD 91 19 0 28 Jan 2025
Backdoor Graph Condensation Jiahao Wu Ning Lu Zeiyu Dai Kun Wang Wenqi Fan Shengcai Liu Qing Li Ke Tang AAML DD 69 5 0 03 Jul 2024
RobGC: Towards Robust Graph Condensation Xinyi Gao Hongzhi Yin Tong Chen Guanhua Ye Wentao Zhang Bin Cui AAML 53 3 0 19 Jun 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
Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching Yuchen Zhang Tianle Zhang Kai Wang Ziyao Guo Yuxuan Liang Xavier Bresson Wei Jin Yang You 32 23 0 07 Feb 2024
Two Trades is not Baffled: Condensing Graph via Crafting Rational Gradient Matching Tianle Zhang Yuchen Zhang Kun Wang Kai Wang Beining Yang Kaipeng Zhang Wenqi Shao Ping Liu Qiufeng Wang Yang You DD 71 13 0 07 Feb 2024
EXGC: Bridging Efficiency and Explainability in Graph Condensation Fan Zhang Xinglin Li Yongduo Sui Yuan Gao Guibin Zhang Kun Wang Xiang Wang Xiangnan He DD 53 19 0 05 Feb 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
FedGKD: Unleashing the Power of Collaboration in Federated Graph Neural Networks Qiying Pan Ruofan Wu Tengfei Liu Tianyi Zhang Yifei Zhu Weiqiang Wang FedML 48 9 0 18 Sep 2023
A Survey on Dataset Distillation: Approaches, Applications and Future Directions Jiahui Geng Zongxiong Chen Yuandou Wang Herbert Woisetschlaeger Sonja Schimmler Ruben Mayer Zhiming Zhao Chunming Rong DD 57 26 0 03 May 2023
Data Augmentation on Graphs: A Technical Survey Jiajun Zhou Chenxuan Xie Shengbo Gong Z. Wen Xiangyu Zhao Qi Xuan Xiaoniu Yang AI4TS 24 8 0 20 Dec 2022
Empowering Graph Representation Learning with Test-Time Graph Transformation Wei Jin Tong Zhao Jiayu Ding Yozen Liu Jiliang Tang Neil Shah OOD 86 60 0 07 Oct 2022
Graph Condensation via Receptive Field Distribution Matching Mengyang Liu Shanchuan Li Xinshi Chen Le Song DD 77 46 0 28 Jun 2022
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 323 4,212 0 23 Aug 2019