Learning Graph Embedding with Adversarial Training Methods

4 January 2019

Papers citing "Learning Graph Embedding with Adversarial Training Methods"

50 / 90 papers shown

Title
Deep Cut-informed Graph Embedding and Clustering Zhiyuan Ning Zaitian Wang Ran Zhang Ping Xu Kunpeng Liu ... Chong Chen Pengfei Wang Yuanchun Zhou Erik Cambria Cheng Chen GNN 76 2 0 09 Mar 2025
GraphSparseNet: a Novel Method for Large Scale Traffic Flow Prediction Weiyang Kong Kaiqi Wu Sen Zhang Yubao Liu AI4TS GNN 78 0 0 27 Feb 2025
Graph Perceiver IO: A General Architecture for Graph Structured Data Seyun Bae Hoyoon Byun Changdae Oh Yoon-Sik Cho Kyungwoo Song GNN 98 2 0 24 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 76 2 0 14 Feb 2025
EdgeGFL: Rethinking Edge Information in Graph Feature Preference Learning Shengda Zhuo Jiwang Fang Hongguang Lin Yin Tang Min Chen Changdong Wang Shuqiang Huang 56 0 0 04 Feb 2025
CDC: A Simple Framework for Complex Data Clustering Zhao Kang Xuanting Xie Bingheng Li Erlin Pan 89 8 0 10 Jan 2025
Multistage non-deterministic classification using secondary concept graphs and graph convolutional networks for high-level feature extraction Masoud Kargar Nasim Jelodari Alireza Assadzadeh GNN 37 0 0 09 Nov 2024
Perturbation-based Graph Active Learning for Weakly-Supervised Belief Representation Learning Dachun Sun Ruijie Wang Jinning Li Ruipeng Han Xinyi Liu You Lyu Tarek F. Abdelzaher 34 0 0 24 Oct 2024
Adversarial Training: A Survey Mengnan Zhao Lihe Zhang Jingwen Ye Huchuan Lu Baocai Yin Xinchao Wang AAML 30 1 0 19 Oct 2024
Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrasting Lirong Wu Haitao Lin Guojiang Zhao Cheng Tan Stan Z. Li 31 0 0 09 Sep 2024
Self-Supervised Contrastive Graph Clustering Network via Structural Information Fusion Xiaoyang Ji Yuchen Zhou Haofu Yang Shiyue Xu Jiahao Li SSL 40 0 0 08 Aug 2024
GraphMU: Repairing Robustness of Graph Neural Networks via Machine Unlearning Tao Wu Xinwen Cao Chao Wang Shaojie Qiao Xingping Xian Lin Yuan Canyixing Cui Yanbing Liu AAML 50 1 0 19 Jun 2024
HeNCler: Node Clustering in Heterophilous Graphs through Learned Asymmetric Similarity Sonny Achten F. Tonin V. Cevher Johan A. K. Suykens 56 0 0 27 May 2024
Leverage Variational Graph Representation For Model Poisoning on Federated Learning Kai Li Xinnan Yuan Jingjing Zheng Wei Ni Falko Dressler Abbas Jamalipour AAML FedML 30 5 0 23 Apr 2024
Incorporating Higher-order Structural Information for Graph Clustering Qiankun Li Haobing Liu Ruobing Jiang Tingting Wang GNN 18 2 0 17 Mar 2024
Provable Filter for Real-world Graph Clustering Xuanting Xie Erlin Pan Zhao Kang Wenyu Chen Bingheng Li GNN 44 2 0 06 Mar 2024
A Survey of Data-Efficient Graph Learning Wei Ju Siyu Yi Yifan Wang Qingqing Long Junyu Luo Zhiping Xiao Ming Zhang GNN 31 26 0 01 Feb 2024
Deep Manifold Graph Auto-Encoder for Attributed Graph Embedding Bozhen Hu Z. Zang Jun Xia Lirong Wu Cheng Tan Stan Z. Li GNN 24 2 0 12 Jan 2024
Data-Agnostic Model Poisoning against Federated Learning: A Graph Autoencoder Approach Kai Li Jingjing Zheng Xinnan Yuan W. Ni Ozgur B. Akan H. Vincent Poor AAML 27 15 0 30 Nov 2023
Unsupervised Graph Attention Autoencoder for Attributed Networks using K-means Loss Abdelfateh Bekkair Slimane Bellaouar Slimane Oulad-Naoui 21 0 0 21 Nov 2023
HDGL: A hierarchical dynamic graph representation learning model for brain disorder classification Parniyan Jalali M. Safayani 6 1 0 06 Nov 2023
Redundancy-Free Self-Supervised Relational Learning for Graph Clustering Si-Yu Yi Wei Ju Yifang Qin Xiao Luo Luchen Liu Yong-Dao Zhou Ming Zhang 43 24 0 09 Sep 2023
Contrastive Representation Learning Based on Multiple Node-centered Subgraphs Dong Li Wenjun Wang Minglai Shao Chen Zhao SSL 30 2 0 31 Aug 2023
CONVERT:Contrastive Graph Clustering with Reliable Augmentation Xihong Yang Cheng Tan Yue Liu K. Liang Siwei Wang Sihang Zhou Jun Xia Stan Z. Li Xinwang Liu En Zhu 30 36 0 17 Aug 2023
Reinforcement Graph Clustering with Unknown Cluster Number Yue Liu K. Liang Jun Xia Xihong Yang Sihang Zhou Meng Liu Xinwang Liu Stan Z. Li GNN 37 26 0 13 Aug 2023
Self-Contrastive Graph Diffusion Network Yixuan Ma Kun Zhan 38 4 0 27 Jul 2023
Dink-Net: Neural Clustering on Large Graphs Yue Liu K. Liang Jun Xia Sihang Zhou Xihong Yang Xinwang Liu Stan Z. Li GNN 38 54 0 28 May 2023
Towards Complex Dynamic Physics System Simulation with Graph Neural ODEs Guangsi Shi Daokun Zhang Ming Jin Shirui Pan Philip S. Yu AI4CE 32 4 0 21 May 2023
Contrastive Graph Clustering in Curvature Spaces Li Sun Feiyang Wang Junda Ye Hao Peng Philip S. Yu 32 17 0 05 May 2023
Beyond Homophily: Reconstructing Structure for Graph-agnostic Clustering Erlin Pan Zhao Kang 37 35 0 03 May 2023
NESS: Node Embeddings from Static SubGraphs Talip Uçar 31 1 0 15 Mar 2023
Revisiting Initializing Then Refining: An Incomplete and Missing Graph Imputation Network Wenxuan Tu Bin Xiao Xinwang Liu Sihang Zhou Zhiping Cai Jieren Cheng 33 5 0 15 Feb 2023
Self-Supervised Temporal Graph learning with Temporal and Structural Intensity Alignment Meng Liu K. Liang Bin Xiao Wenxuan Tu Sihang Zhou Xihong Yang Xinwang Liu Yue Liu 23 68 0 15 Feb 2023
USER: Unsupervised Structural Entropy-based Robust Graph Neural Network Yifei Wang Yupan Wang Zeyu Zhang Song Yang Kaiqi Zhao Jiamou Liu OOD 27 4 0 12 Feb 2023
Cluster-guided Contrastive Graph Clustering Network Xihong Yang Yue Liu Sihang Zhou Siwei Wang Wenxuan Tu Qun Zheng Xinwang Liu Liming Fang En Zhu 42 91 0 03 Jan 2023
Hard Sample Aware Network for Contrastive Deep Graph Clustering Yue Liu Xihong Yang Sihang Zhou Xinwang Liu Zhen Wang K. Liang Wenxuan Tu Liangjun Li Jingcan Duan Cancan Chen 33 101 0 16 Dec 2022
Interpretable Node Representation with Attribute Decoding Xiaohui Chen Xi Chen Liping Liu 30 4 0 03 Dec 2022
Demystifying Bitcoin Address Behavior via Graph Neural Networks Zhen-Ji Huang Yunyang Huang Peng Qian Jianhai Chen Qinming He GNN 33 6 0 26 Nov 2022
A Survey of Deep Graph Clustering: Taxonomy, Challenge, Application, and Open Resource Yue Liu Jun Xia Sihang Zhou Xihong Yang K. Liang Chenchen Fan Zhuang Yan Stan Z. Li Xinwang Liu Kunlun He OOD 32 19 0 23 Nov 2022
EGRC-Net: Embedding-induced Graph Refinement Clustering Network Zhihao Peng Hui Liu Yuheng Jia Junhui Hou 27 6 0 19 Nov 2022
GLCC: A General Framework for Graph-Level Clustering Wei Ju Yiyang Gu Binqi Chen Gongbo Sun Yifang Qin Xing Liu Xiao Luo Ming Zhang 34 41 0 21 Oct 2022
NCAGC: A Neighborhood Contrast Framework for Attributed Graph Clustering Tong Wang Guanyu Yang Qijia He Zhenquan Zhang Junhua Wu 22 4 0 16 Jun 2022
Unsupervised Deep Discriminant Analysis Based Clustering Jinyu Cai Wenzhong Guo Jicong Fan 26 5 0 09 Jun 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 45 104 0 16 May 2022
Simple Contrastive Graph Clustering Yue Liu Xihong Yang Sihang Zhou Xinwang Liu GNN 49 110 0 11 May 2022
Deep Graph Clustering via Mutual Information Maximization and Mixture Model Maedeh Ahmadi M. Safayani Abdolreza Mirzaei 19 4 0 10 May 2022
CGC: Contrastive Graph Clustering for Community Detection and Tracking Namyong Park Ryan A. Rossi Eunyee Koh I. Burhanuddin Sungchul Kim F. Du Nesreen Ahmed Christos Faloutsos 27 36 0 05 Apr 2022
Improved Dual Correlation Reduction Network Yue Liu Sihang Zhou Xinwang Liu Wenxuan Tu Xihong Yang 26 22 0 25 Feb 2022
Deep Graph Clustering via Dual Correlation Reduction Yue Liu Wenxuan Tu Sihang Zhou Xinwang Liu Linxuan Song Xihong Yang En Zhu 22 202 0 29 Dec 2021
Siamese Attribute-missing Graph Auto-encoder Wenxuan Tu Sihang Zhou Yue Liu Xinwang Liu 20 7 0 09 Dec 2021