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. 2306.02664
  4. Cited By
Structure-free Graph Condensation: From Large-scale Graphs to Condensed
  Graph-free Data

Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data

5 June 2023
Xin Zheng
Miao Zhang
C. Chen
Quoc Viet Hung Nguyen
Xingquan Zhu
Shirui Pan
    DD
ArXivPDFHTML

Papers citing "Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data"

16 / 16 papers shown
Title
GCAL: Adapting Graph Models to Evolving Domain Shifts
GCAL: Adapting Graph Models to Evolving Domain Shifts
Ziyue Qiao
Qianyi Cai
Hao Dong
Jiawei Gu
Pengyang Wang
Meng Xiao
Xiao Luo
Hui Xiong
CLL
14
0
0
22 May 2025
AH-UGC: Adaptive and Heterogeneous-Universal Graph Coarsening
AH-UGC: Adaptive and Heterogeneous-Universal Graph Coarsening
Mohit Kataria
Shreyash Bhilwade
Sandeep Kumar
Jayadeva
22
0
0
18 May 2025
Efficient Learning on Large Graphs using a Densifying Regularity Lemma
Efficient Learning on Large Graphs using a Densifying Regularity Lemma
Jonathan Kouchly
Ben Finkelshtein
M. Bronstein
Ron Levie
46
0
0
25 Apr 2025
Unveiling Mode Connectivity in Graph Neural Networks
Unveiling Mode Connectivity in Graph Neural Networks
Bingheng Li
Z. Chen
Haoyu Han
Shenglai Zeng
J. Liu
Jiliang Tang
55
0
0
18 Feb 2025
Graph Condensation: A Survey
Graph Condensation: A Survey
Xin Gao
Junliang Yu
Wei Jiang
Tong Chen
Wentao Zhang
Hongzhi Yin
DD
122
19
0
28 Jan 2025
Graph Contrastive Learning on Multi-label Classification for Recommendations
Graph Contrastive Learning on Multi-label Classification for Recommendations
Jiayang Wu
Wensheng Gan
Huashen Lu
Philip S. Yu
70
1
0
13 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
96
6
0
03 Jul 2024
RobGC: Towards Robust Graph Condensation
RobGC: Towards Robust Graph Condensation
Xinyi Gao
Hongzhi Yin
Tong Chen
Guanhua Ye
Wentao Zhang
Tengjiao Wang
AAML
78
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
63
7
0
22 May 2024
Navigating Complexity: Toward Lossless Graph Condensation via Expanding
  Window Matching
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
53
24
0
07 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
102
6
0
18 Jan 2024
PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly
  Detection
PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection
Junjun Pan
Yixin Liu
Yizhen Zheng
Shirui Pan
49
18
0
18 Oct 2023
Graph Distillation with Eigenbasis Matching
Graph Distillation with Eigenbasis Matching
Yang Liu
Deyu Bo
Chuan Shi
DD
69
9
0
13 Oct 2023
Unraveling Privacy Risks of Individual Fairness in Graph Neural Networks
Unraveling Privacy Risks of Individual Fairness in Graph Neural Networks
He Zhang
Lizhen Qu
Shirui Pan
63
11
0
30 Jan 2023
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
He Zhang
Bang Wu
Lizhen Qu
Shirui Pan
Hanghang Tong
Jian Pei
51
104
0
16 May 2022
Overcoming Catastrophic Forgetting in Graph Neural Networks
Overcoming Catastrophic Forgetting in Graph Neural Networks
Huihui Liu
Yiding Yang
Xinchao Wang
177
113
0
10 Dec 2020
1