ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2402.03358
  4. Cited By
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
Shengbo Gong
Juntong Ni
Wenqi Fan
B. A. Prakash
Wei-dong Jin
    DD
ArXivPDFHTML

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

14 / 14 papers shown
Title
Inference-friendly Graph Compression for Graph Neural Networks
Inference-friendly Graph Compression for Graph Neural Networks
Yangxin Fan
Haolai Che
Yinghui Wu
GNN
40
0
0
17 Apr 2025
Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks
Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks
Z. Liu
Xiaoda Wang
Bohan Wang
Zijie Huang
Carl Yang
Wei-dong Jin
AI4TS
AI4CE
36
0
0
29 Mar 2025
Graph Condensation: A Survey
Graph Condensation: A Survey
Xin Gao
Junliang Yu
Wei Jiang
Tong Chen
Wentao Zhang
Hongzhi Yin
DD
75
19
0
28 Jan 2025
Backdoor Graph Condensation
Backdoor Graph Condensation
Jiahao Wu
Ning Lu
Zeiyu Dai
Kun Wang
Wenqi Fan
Shengcai Liu
Qing Li
Ke Tang
AAML
DD
50
5
0
03 Jul 2024
RobGC: Towards Robust Graph Condensation
RobGC: Towards Robust Graph Condensation
Xinyi Gao
Hongzhi Yin
Tong Chen
Guanhua Ye
Wentao Zhang
Bin Cui
AAML
38
3
0
19 Jun 2024
Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition
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
16
6
0
22 May 2024
Two Trades is not Baffled: Condensing Graph via Crafting Rational
  Gradient Matching
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
Joey Tianyi Zhou
Yang You
DD
46
13
0
07 Feb 2024
EXGC: Bridging Efficiency and Explainability in Graph Condensation
EXGC: Bridging Efficiency and Explainability in Graph Condensation
Junfeng Fang
Xinglin Li
Yongduo Sui
Yuan Gao
Guibin Zhang
Kun Wang
Xiang Wang
Xiangnan He
DD
44
18
0
05 Feb 2024
Disentangled Condensation for Large-scale Graphs
Disentangled Condensation for Large-scale Graphs
Zhenbang Xiao
Shunyu Liu
Yu Wang
Tongya Zheng
Mingli Song
Mingli Song
Tongya Zheng
DD
59
6
0
18 Jan 2024
FedGKD: Unleashing the Power of Collaboration in Federated Graph Neural
  Networks
FedGKD: Unleashing the Power of Collaboration in Federated Graph Neural Networks
Qiying Pan
Ruofan Wu
Tengfei Liu
Tianyi Zhang
Yifei Zhu
Weiqiang Wang
FedML
44
4
0
18 Sep 2023
A Survey on Dataset Distillation: Approaches, Applications and Future
  Directions
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
52
11
0
03 May 2023
Empowering Graph Representation Learning with Test-Time Graph
  Transformation
Empowering Graph Representation Learning with Test-Time Graph Transformation
Wei Jin
Tong Zhao
Jiayu Ding
Yozen Liu
Jiliang Tang
Neil Shah
OOD
84
59
0
07 Oct 2022
Graph Condensation via Receptive Field Distribution Matching
Graph Condensation via Receptive Field Distribution Matching
Mengyang Liu
Shanchuan Li
Xinshi Chen
Le Song
DD
69
32
0
28 Jun 2022
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
283
4,143
0
23 Aug 2019
1