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Backdoor Graph Condensation

3 July 2024

Jiahao Wu

Ning Lu

Zeiyu Dai

Kun Wang

Wenqi Fan

Shengcai Liu

Qing Li

Ke Tang

AAML

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Papers citing "Backdoor Graph Condensation"

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Title
Democratic Recommendation with User and Item Representatives Produced by Graph Condensation Jiahao Liang Haoran Yang Xiangyu Zhao Zhiwen Yu Guandong Xu Wanyu Wang Kaixiang Yang 60 0 0 23 Nov 2025
Safe Delta: Consistently Preserving Safety when Fine-Tuning LLMs on Diverse Datasets Ning Lu Shengcai Liu Jiahao Wu Weiyu Chen Zhirui Zhang Yew-Soon Ong Qi Wang Ke Tang 322 10 0 17 May 2025
SemDiff: Generating Natural Unrestricted Adversarial Examples via Semantic Attributes Optimization in Diffusion Models Zeyu Dai Shengcai Liu Rui He Jiahao Wu Ning Lu Wenqi Fan Qing Li Ke Tang DiffM AAML 341 0 0 16 Apr 2025
Graph Condensation: A SurveyIEEE Transactions on Knowledge and Data Engineering (TKDE), 2024 Xin Gao Junliang Yu Wei Jiang Tong Chen Wentao Zhang Hongzhi Yin DD 425 26 0 28 Jan 2025
Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised LearningKnowledge Discovery and Data Mining (KDD), 2024 Xinyi Gao Yayong Li Tong Chen Guanhua Ye Feiyu Xiong Hongzhi Yin 438 5 0 26 Nov 2024
Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks Quang H. Nguyen Nguyen Ngoc-Hieu The-Anh Ta Thanh Nguyen-Tang Kok-Seng Wong Hoang Thanh-Tung Khoa D. Doan AAML 303 4 0 15 Jul 2024
Graph Machine Learning in the Era of Large Language Models (LLMs) Wenqi Fan Shijie Wang Jiani Huang Zhikai Chen Yu Song ... Haitao Mao Hui Liu Xiaorui Liu D. Yin Qing Li AI4CE 417 42 0 23 Apr 2024
Graph Unlearning with Efficient Partial RetrainingThe Web Conference (WWW), 2024 Jiahao Zhang Lin Wang Shijie Wang Wenqi Fan MU 248 21 0 12 Mar 2024
Graph Data Condensation via Self-expressive Graph Structure ReconstructionKnowledge Discovery and Data Mining (KDD), 2024 Zhanyu Liu Chaolv Zeng Guanjie Zheng DD 274 16 0 12 Mar 2024
OpenGraph: Towards Open Graph Foundation Models Lianghao Xia Ben Kao Chao Huang AI4CE 312 65 0 02 Mar 2024
Linear-Time Graph Neural Networks for Scalable Recommendations Jiahao Zhang Rui Xue Wenqi Fan Xin Xu Qing Li Jian Pei Xiaorui Liu AI4CE 180 49 0 21 Feb 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 502 33 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 393 15 0 07 Feb 2024
EXGC: Bridging Efficiency and Explainability in Graph Condensation Cunchun Li Xinglin Li Yongduo Sui Yuan Gao Guibin Zhang Kun Wang Xiang Wang Xiangnan He DD 258 26 0 05 Feb 2024
A Survey on Graph Condensation Hongjia Xu Liangliang Zhang Yao Ma Sheng Zhou Zhuonan Zheng Jiajun Bu 324 12 0 03 Feb 2024
A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and CondensationInternational Joint Conference on Artificial Intelligence (IJCAI), 2024 Mohammad Hashemi Shengbo Gong Juntong Ni Wenqi Fan B. A. Prakash Wei Jin DD 404 77 0 29 Jan 2024
GraphPro: Graph Pre-training and Prompt Learning for RecommendationThe Web Conference (WWW), 2023 Yuhao Yang Lianghao Xia Da Luo Kangyi Lin Chao Huang AI4CE 422 34 0 28 Nov 2023
Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method PerspectiveInternational Conference on Learning Representations (ICLR), 2023 Ming-Yu Chung Sheng-Yen Chou Chia-Mu Yu Pin-Yu Chen Sy-Yen Kuo Tsung-Yi Ho DD 394 9 0 28 Nov 2023
Untargeted Black-box Attacks for Social Recommendations Wenqi Fan Shijie Wang Xiao Wei Xiaowei Mei Qing Li MLAU AAML 261 2 0 13 Nov 2023
Representation Learning with Large Language Models for RecommendationThe Web Conference (WWW), 2023 Xubin Ren Wei Wei Lianghao Xia Lixin Su Suqi Cheng Junfeng Wang D. Yin Chao Huang 426 301 0 24 Oct 2023
Fast Graph Condensation with Structure-based Neural Tangent KernelThe Web Conference (WWW), 2023 Lin Wang Wenqi Fan Jiatong Li Yao Ma Qing Li DD 291 40 0 17 Oct 2023
Mirage: Model-Agnostic Graph Distillation for Graph Classification Mridul Gupta S. Manchanda H. Kodamana Jignesh M. Patel DD 255 16 0 14 Oct 2023
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 231 52 0 13 Oct 2023
CaT: Balanced Continual Graph Learning with Graph CondensationIndustrial Conference on Data Mining (IDM), 2023 Yilun Liu Ruihong Qiu Zi Huang DD 387 53 0 18 Sep 2023
Graph Condensation for Inductive Node Representation LearningIEEE International Conference on Data Engineering (ICDE), 2023 Xin Gao Tong Chen Yilong Zang Wentao Zhang Quoc Viet Hung Nguyen Kai Zheng Hongzhi Yin DD AI4CE 373 45 0 29 Jul 2023
Recommender Systems in the Era of Large Language Models (LLMs)IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023 Zihuai Zhao Wenqi Fan Jiatong Li Yunqing Liu Xiaowei Mei ... Zhen Wen Fei Wang Xiangyu Zhao Shucheng Zhou Qing Li KELM 588 429 0 05 Jul 2023
Efficient Backdoor Attacks for Deep Neural Networks in Real-world ScenariosInternational Conference on Learning Representations (ICLR), 2023 Wandi Qiao Hong Sun Pengfei Xia Heng Li Beihao Xia Yi Wu Bin Li AAML 288 11 0 14 Jun 2023
Empowering Molecule Discovery for Molecule-Caption Translation with Large Language Models: A ChatGPT PerspectiveIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023 Jiatong Li Yunqing Liu Wenqi Fan Xiao Wei Hui Liu Shucheng Zhou Qing Li 167 126 0 11 Jun 2023
Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free DataNeural Information Processing Systems (NeurIPS), 2023 Xin Zheng Miao Zhang C. Chen Quoc Viet Hung Nguyen Xingquan Zhu Shirui Pan DD 246 81 0 05 Jun 2023
Distill Gold from Massive Ores: Efficient Dataset Distillation via Critical Samples Selection Yue Xu Yong-Lu Li Kaitong Cui Ziyu Wang Cewu Lu Yu-Wing Tai Chi-Keung Tang DD 427 8 0 28 May 2023
DREAM: Efficient Dataset Distillation by Representative MatchingIEEE International Conference on Computer Vision (ICCV), 2023 Yanqing Liu Jianyang Gu Kai Wang Zheng Hua Zhu Wei Jiang Yang You DD 371 103 0 28 Feb 2023
A semantic backdoor attack against Graph Convolutional NetworksNeurocomputing (Neurocomputing), 2023 Jiazhu Dai Zhipeng Xiong AAML 319 12 0 28 Feb 2023
Unnoticeable Backdoor Attacks on Graph Neural NetworksThe Web Conference (WWW), 2023 Enyan Dai Minhua Lin Xiang Zhang Suhang Wang AAML 262 71 0 11 Feb 2023
Backdoor Attacks Against Dataset DistillationNetwork and Distributed System Security Symposium (NDSS), 2023 Yugeng Liu Zheng Li Michael Backes Yun Shen Yang Zhang DD 235 33 0 03 Jan 2023
Disentangled Contrastive Learning for Social RecommendationInternational Conference on Information and Knowledge Management (CIKM), 2022 Jiahao Wu Wenqi Fan Jingfan Chen Shengcai Liu Qing Li Jiaheng Zhang 256 78 0 18 Aug 2022
Graph Condensation via Receptive Field Distribution Matching Mengyang Liu Shanchuan Li Xinshi Chen Le Song DD 223 60 0 28 Jun 2022
Transferable Graph Backdoor AttackInternational Symposium on Recent Advances in Intrusion Detection (RAID), 2022 Shuiqiao Yang Bao Gia Doan Paul Montague O. Vel Tamas Abraham S. Çamtepe Damith C. Ranasinghe S. Kanhere AAML 303 51 0 21 Jun 2022
Condensing Graphs via One-Step Gradient MatchingKnowledge Discovery and Data Mining (KDD), 2022 Wei Jin Xianfeng Tang Haoming Jiang Zheng Li Danqing Zhang Shucheng Zhou Bin Ying DD 280 127 0 15 Jun 2022
Reliable Graph Neural Networks for Drug Discovery Under Distributional Shift Kehang Han Balaji Lakshminarayanan J. Liu OOD GNN 188 39 0 25 Nov 2021
Graph Condensation for Graph Neural Networks Wei Jin Lingxiao Zhao Shichang Zhang Yozen Liu Shucheng Zhou Neil Shah DD AI4CE 457 185 0 14 Oct 2021
Graph-MLP: Node Classification without Message Passing in Graph Yang Hu Haoxuan You Zhecan Wang Zhicheng Wang Erjin Zhou Yue Gao 282 130 0 08 Jun 2021
Explainability-based Backdoor Attacks Against Graph Neural Networks Jing Xu Minhui Xue Xue S. Picek 183 85 0 08 Apr 2021
Graph Backdoor Zhaohan Xi Ren Pang S. Ji Ting Wang AI4CE AAML 316 195 0 21 Jun 2020
Backdoor Attacks to Graph Neural Networks Zaixi Zhang Jinyuan Jia Binghui Wang Neil Zhenqiang Gong GNN 282 244 0 19 Jun 2020
Dataset Condensation with Gradient MatchingInternational Conference on Learning Representations (ICLR), 2020 Bo Zhao Konda Reddy Mopuri Hakan Bilen DD 605 623 0 10 Jun 2020
A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding ModelsAAAI Conference on Artificial Intelligence (AAAI), 2019 Heng Chang Yu Rong Qifeng Bai Wenbing Huang Honglei Zhang Peng Cui Wenwu Zhu Junzhou Huang AAML 199 165 0 04 Aug 2019
GraphSAINT: Graph Sampling Based Inductive Learning MethodInternational Conference on Learning Representations (ICLR), 2019 Hanqing Zeng Hongkuan Zhou Ajitesh Srivastava Rajgopal Kannan Viktor Prasanna GNN 530 1,080 0 10 Jul 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 1.8K 4,982 0 06 Mar 2019
Adversarial Attacks on Graph Neural Networks via Meta Learning Daniel Zügner Stephan Günnemann OOD AAML GNN 301 625 0 22 Feb 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 660 3,623 0 19 Feb 2019

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Backdoor Graph Condensation

Papers citing "Backdoor Graph Condensation"