Graph Condensation for Graph Neural Networks

14 October 2021

Papers citing "Graph Condensation for Graph Neural Networks"

50 / 103 papers shown

Title
Rethinking Federated Graph Learning: A Data Condensation Perspective Hao Zhang Xunkai Li Y. X. Zhu Lianglin Hu FedML DD AI4CE 49 0 0 05 May 2025
Fairness in Graph Learning Augmented with Machine Learning: A Survey Renqiang Luo Ziqi Xu X. Zhang Qing Qing Huafei Huang Enyan Dai Z. Wang Bo Yang FaML 52 0 0 30 Apr 2025
Efficient Learning on Large Graphs using a Densifying Regularity Lemma Jonathan Kouchly Ben Finkelshtein M. Bronstein Ron Levie 39 0 0 25 Apr 2025
FedC4: Graph Condensation Meets Client-Client Collaboration for Efficient and Private Federated Graph Learning Zekai Chen Xunkai Li Y. X. Zhu Rong-Hua Li Guoren Wang FedML 40 0 0 19 Apr 2025
fine-CLIP: Enhancing Zero-Shot Fine-Grained Surgical Action Recognition with Vision-Language Models Saurav Sharma Didier Mutter N. Padoy VLM MedIm 44 0 0 25 Mar 2025
Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation Hongliang Chi Qiong Wu Zhengyi Zhou Yao Ma TDI AAML 68 0 0 23 Mar 2025
Efficient and Privacy-Preserved Link Prediction via Condensed Graphs Yunbo Long Liming Xu Alexandra Brintrup 58 0 0 15 Mar 2025
A Large-Scale Study on Video Action Dataset Condensation Yang Chen Sheng Guo Bo Zheng Limin Wang DD 81 2 0 13 Mar 2025
Subgraph Federated Learning for Local Generalization Sungwon Kim Yoonho Lee Yunhak Oh Namkyeong Lee Sukwon Yun Junseok Lee Sein Kim Carl Yang Chanyoung Park FedML OOD 86 1 0 06 Mar 2025
Understanding Dataset Distillation via Spectral Filtering Deyu Bo Songhua Liu Xinchao Wang DD 77 0 0 03 Mar 2025
GiGL: Large-Scale Graph Neural Networks at Snapchat Tong Zhao Yozen Liu Matthew Kolodner Kyle Montemayor Elham Ghazizadeh ... Serim Park Peicheng Yu Jun Yu Shubham Vij Neil Shah GNN 60 0 0 24 Feb 2025
Unveiling Mode Connectivity in Graph Neural Networks Bingheng Li Z. Chen Haoyu Han Shenglai Zeng J. Liu Jiliang Tang 48 0 0 18 Feb 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 73 2 0 14 Feb 2025
Graph Condensation: A Survey Xin Gao Junliang Yu Wei Jiang Tong Chen Wentao Zhang Hongzhi Yin DD 85 19 0 28 Jan 2025
Graph Coarsening via Supervised Granular-Ball for Scalable Graph Neural Network Training Shuyin Xia Xinjun Ma Zhiyuan Liu Cheng Liu Sen Zhao G. Wang 69 2 0 18 Dec 2024
Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural Networks Yanwei Yue Guibin Zhang Haoran Yang Dawei Cheng 83 0 0 10 Dec 2024
Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning Xinyi Gao Yayong Li Tong Chen Guanhua Ye W. Zhang Hongzhi Yin 85 2 0 26 Nov 2024
Graph Sparsification for Enhanced Conformal Prediction in Graph Neural Networks Yuntian He Pranav Maneriker Anutam Srinivasan Aditya T. Vadlamani Srinivasan Parthasarathy 28 0 0 28 Oct 2024
TCGU: Data-centric Graph Unlearning based on Transferable Condensation Fan Li Xiaoyang Wang Dawei Cheng Wenjie Zhang Ying Zhang Xuemin Lin MU 28 1 0 09 Oct 2024
Promoting Fairness in Link Prediction with Graph Enhancement Yezi Liu Hanning Chen Mohsen Imani 30 1 0 13 Sep 2024
GSTAM: Efficient Graph Distillation with Structural Attention-Matching Arash Rasti-Meymandi A. Sajedi Zhaopan Xu Konstantinos N. Plataniotis 26 0 0 29 Aug 2024
Flexible Generation of Preference Data for Recommendation Analysis Erica Coppolillo Simone Mungari E. Ritacco Giuseppe Manco 30 1 0 23 Jul 2024
CADC: Encoding User-Item Interactions for Compressing Recommendation Model Training Data Hossein Entezari Zarch Abdulla Alshabanah Chaoyi Jiang Murali Annavaram 23 1 0 11 Jul 2024
TinyGraph: Joint Feature and Node Condensation for Graph Neural Networks Yezi Liu Yanning Shen DD 37 5 0 10 Jul 2024
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
GC-Bench: A Benchmark Framework for Graph Condensation with New Insights Shengbo Gong Juntong Ni Noveen Sachdeva Carl Yang Wei Jin DD 34 3 0 24 Jun 2024
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity Mucong Ding Tahseen Rabbani Bang An Evan Z Wang Furong Huang 31 20 0 21 Jun 2024
Behaviour Distillation Andrei Lupu Chris Xiaoxuan Lu Jarek Liesen R. T. Lange Jakob Foerster DD 39 4 0 21 Jun 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
Graph Knowledge Distillation to Mixture of Experts P. Rumiantsev Mark Coates 26 0 0 17 Jun 2024
Mitigating Bias in Dataset Distillation Justin Cui Ruochen Wang Yuanhao Xiong Cho-Jui Hsieh DD 39 1 0 06 Jun 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
CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting Jianrong Ding Zhanyu Liu Guanjie Zheng Haiming Jin Linghe Kong AI4TS DD 42 3 0 04 Jun 2024
Learning on Large Graphs using Intersecting Communities Ben Finkelshtein .Ismail .Ilkan Ceylan Michael M. Bronstein Ron Levie GNN 30 5 0 31 May 2024
Graph Coarsening with Message-Passing Guarantees Antonin Joly Nicolas Keriven 27 0 0 28 May 2024
Calibrated Dataset Condensation for Faster Hyperparameter Search Mucong Ding Yuancheng Xu Tahseen Rabbani Xiaoyu Liu Brian J Gravelle Teresa M. Ranadive Tai-Ching Tuan Furong Huang DD 32 0 0 27 May 2024
Spectral Greedy Coresets for Graph Neural Networks Mucong Ding Yinhan He Jundong Li Furong Huang 25 3 0 27 May 2024
Graph Sparsification via Mixture of Graphs Guibin Zhang Xiangguo Sun Yanwei Yue Kun Wang Tianlong Chen Shirui Pan 28 8 0 23 May 2024
GCondenser: Benchmarking Graph Condensation Yilun Liu Ruihong Qiu Zi Huang DD 38 8 0 23 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
Acceleration Algorithms in GNNs: A Survey Lu Ma Zeang Sheng Xunkai Li Xin Gao Zhezheng Hao Ling Yang Wentao Zhang Bin Cui GNN 39 3 0 07 May 2024
Simple Graph Condensation Zhenbang Xiao Yu Wang Shunyu Liu Huiqiong Wang Mingli Song Tongya Zheng DD 69 6 0 22 Mar 2024
Graph Data Condensation via Self-expressive Graph Structure Reconstruction Zhanyu Liu Chaolv Zeng Guanjie Zheng DD 61 11 0 12 Mar 2024
Dataset Condensation for Time Series Classification via Dual Domain Matching Zhanyu Liu Ke Hao Guanjie Zheng Yanwei Yu DD 63 5 0 12 Mar 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 Joey Tianyi Zhou Yang You DD 68 13 0 07 Feb 2024
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 53 19 0 05 Feb 2024
A Survey on Graph Condensation Hongjia Xu Liangliang Zhang Yao Ma Sheng Zhou Zhuonan Zheng Jiajun Bu 53 10 0 03 Feb 2024
TEDDY: Trimming Edges with Degree-based Discrimination strategY Hyunjin Seo Jihun Yun Eunho Yang 13 1 0 02 Feb 2024
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness Guibin Zhang Yanwei Yue Kun Wang Junfeng Fang Yongduo Sui Kai Wang Yuxuan Liang Dawei Cheng Shirui Pan Tianlong Chen 27 10 0 02 Feb 2024