RobGC: Towards Robust Graph Condensation

19 June 2024

Papers citing "RobGC: Towards Robust Graph Condensation"

50 / 51 papers shown

Title
Hide and Seek in Noise Labels: Noise-Robust Collaborative Active Learning with LLM-Powered Assistance Bo Yuan Yulin Chen Yin Zhang Wei Jiang NoLa 115 8 0 03 Apr 2025
Graph Condensation: A Survey Xin Gao Junliang Yu Wei Jiang Tong Chen Wentao Zhang Hongzhi Yin DD 257 20 0 28 Jan 2025
Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning Xinyi Gao Yayong Li Tong Chen Guanhua Ye Wentao Zhang Hongzhi Yin 128 2 0 26 Nov 2024
Graph Condensation for Open-World Graph Learning Xin Gao Tong Chen Wentao Zhang Yayong Li Xiangguo Sun Hongzhi Yin 81 8 0 27 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 118 7 0 22 May 2024
Simple Graph Condensation Zhenbang Xiao Yu Wang Shunyu Liu Huiqiong Wang Mingli Song Tongya Zheng DD 134 7 0 22 Mar 2024
Graph Data Condensation via Self-expressive Graph Structure Reconstruction Zhanyu Liu Chaolv Zeng Guanjie Zheng DD 107 13 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 78 25 0 07 Feb 2024
Deep Outdated Fact Detection in Knowledge Graphs Huiling Tu Shuo Yu Vidya Saikrishna Xiwei Xu Karin Verspoor 72 10 0 06 Feb 2024
A Survey on Graph Condensation Hongjia Xu Liangliang Zhang Yao Ma Sheng Zhou Zhuonan Zheng Jiajun Bu 105 11 0 03 Feb 2024
A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation Mohammad Hashemi Shengbo Gong Juntong Ni Wenqi Fan B. A. Prakash Wei Jin DD 121 47 0 29 Jan 2024
Fast Graph Condensation with Structure-based Neural Tangent Kernel Lin Wang Wenqi Fan Jiatong Li Yao Ma Qing Li DD 81 30 0 17 Oct 2023
Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation Xin Gao Wentao Zhang Junliang Yu Yingxiao Shao Quoc Viet Hung Nguyen Tengjiao Wang Hongzhi Yin AI4CE GNN 80 9 0 17 Oct 2023
Graph Distillation with Eigenbasis Matching Yang Liu Deyu Bo Chuan Shi DD 90 9 0 13 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 62 44 0 13 Oct 2023
CaT: Balanced Continual Graph Learning with Graph Condensation Yilun Liu Ruihong Qiu Zi Huang DD 87 42 0 18 Sep 2023
Graph Condensation for Inductive Node Representation Learning Xin Gao Tong Chen Yilong Zang Wentao Zhang Quoc Viet Hung Nguyen Kai Zheng Hongzhi Yin DD AI4CE 70 37 0 29 Jul 2023
NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification Qitian Wu Wentao Zhao Zenan Li David Wipf Junchi Yan 52 222 0 14 Jun 2023
Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data Xin Zheng Miao Zhang C. Chen Quoc Viet Hung Nguyen Xingquan Zhu Shirui Pan DD 79 67 0 05 Jun 2023
Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks Xin Gao Wentao Zhang Tong Chen Junliang Yu Hung Quoc Viet Nguyen Hongzhi Yin 65 11 0 27 Feb 2023
A Comprehensive Survey of Dataset Distillation Shiye Lei Dacheng Tao DD 87 91 0 13 Jan 2023
Graph-based Molecular Representation Learning Zhichun Guo Kehan Guo B. Nan Yijun Tian Roshni G. Iyer ... Olaf Wiest Xiangliang Zhang Wei Wang Chuxu Zhang Nitesh Chawla AI4CE 59 62 0 08 Jul 2022
Time-aware Dynamic Graph Embedding for Asynchronous Structural Evolution Yu Yang Hongzhi Yin Jiannong Cao Tong Chen Quoc Viet Hung Nguyen Xiaofang Zhou Lei Chen 42 12 0 01 Jul 2022
Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN Kuan Li Yang Liu Xiang Ao Jianfeng Chi Jinghua Feng Hao Yang Qing He AAML 88 66 0 30 Jun 2022
Condensing Graphs via One-Step Gradient Matching Wei Jin Xianfeng Tang Haoming Jiang Zheng Li Danqing Zhang Jiliang Tang Bin Ying DD 81 110 0 15 Jun 2022
PaSca: a Graph Neural Architecture Search System under the Scalable Paradigm Wentao Zhang Yu Shen Zheyu Lin Yang Li Xiaosen Li Wenbin Ouyang Yangyu Tao Zhi-Xin Yang Tengjiao Wang GNN 83 60 0 01 Mar 2022
Towards Unsupervised Deep Graph Structure Learning Yixin Liu Yu Zheng Daokun Zhang Hongxu Chen Hao Peng Shirui Pan 64 188 0 17 Jan 2022
Robustness of Graph Neural Networks at Scale Simon Geisler Tobias Schmidt Hakan cSirin Daniel Zügner Aleksandar Bojchevski Stephan Günnemann AAML 57 131 0 26 Oct 2021
Graph Condensation for Graph Neural Networks Wei Jin Lingxiao Zhao Shichang Zhang Yozen Liu Jiliang Tang Neil Shah DD AI4CE 91 158 0 14 Oct 2021
Dataset Condensation with Distribution Matching Bo Zhao Hakan Bilen DD 77 304 0 08 Oct 2021
Co-learning: Learning from Noisy Labels with Self-supervision Cheng Tan Jun Xia Lirong Wu Stan Z. Li NoLa 104 125 0 05 Aug 2021
Training Robust Graph Neural Networks with Topology Adaptive Edge Dropping Zhangyang Gao S. Bhattacharya Leiming Zhang Rick S. Blum Alejandro Ribeiro Brian M. Sadler 69 25 0 05 Jun 2021
Node Similarity Preserving Graph Convolutional Networks Wei Jin Hanyu Wang Yiqi Wang Yao Ma Zitao Liu Jiliang Tang 77 257 0 19 Nov 2020
Learning to Drop: Robust Graph Neural Network via Topological Denoising Dongsheng Luo Wei Cheng Wenchao Yu Bo Zong Jingchao Ni Haifeng Chen Xiang Zhang OOD 76 260 0 13 Nov 2020
Reliable Graph Neural Networks via Robust Aggregation Simon Geisler Daniel Zügner Stephan Günnemann AAML OOD 42 72 0 29 Oct 2020
Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings Yu Chen Lingfei Wu Mohammed J Zaki 94 415 0 21 Jun 2020
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks Xiang Zhang Marinka Zitnik AAML 81 295 0 15 Jun 2020
Graph Structure Learning for Robust Graph Neural Networks Wei Jin Yao Ma Xiaorui Liu Xianfeng Tang Suhang Wang Jiliang Tang OOD AAML 82 703 0 20 May 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 303 2,730 0 02 May 2020
Graph-Revised Convolutional Network Donghan Yu Ruohong Zhang Zhengbao Jiang Yuexin Wu Yiming Yang GNN 63 98 0 17 Nov 2019
A Quest for Structure: Jointly Learning the Graph Structure and Semi-Supervised Classification Xuan Wu Lingxiao Zhao Leman Akoglu 37 31 0 26 Sep 2019
GraphSAINT: Graph Sampling Based Inductive Learning Method Hanqing Zeng Hongkuan Zhou Ajitesh Srivastava Rajgopal Kannan Viktor Prasanna GNN 137 966 0 10 Jul 2019
Learning Discrete Structures for Graph Neural Networks Luca Franceschi Mathias Niepert Massimiliano Pontil X. He GNN 72 411 0 28 Mar 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 233 3,172 0 19 Feb 2019
Robust Graph Learning from Noisy Data Zhao Kang Haiqi Pan Guosheng Lin Zenglin Xu OOD NoLa 89 256 0 17 Dec 2018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Klicpera Aleksandar Bojchevski Stephan Günnemann GNN 216 1,686 0 14 Oct 2018
Link Prediction Based on Graph Neural Networks Muhan Zhang Yixin Chen GNN 85 1,932 0 27 Feb 2018
Adaptive Graph Convolutional Neural Networks Ruoyu Li Sheng Wang Feiyun Zhu Junzhou Huang GNN 127 757 0 10 Jan 2018
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 503 15,232 0 07 Jun 2017
iCaRL: Incremental Classifier and Representation Learning Sylvestre-Alvise Rebuffi Alexander Kolesnikov G. Sperl Christoph H. Lampert CLL OOD 145 3,755 0 23 Nov 2016