AnomalyDAE: Dual autoencoder for anomaly detection on attributed networks

10 February 2020

Papers citing "AnomalyDAE: Dual autoencoder for anomaly detection on attributed networks"

49 / 49 papers shown

Title
EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection Jing Ren Mingliang Hou Zhixuan Liu Xiaomei Bai 46 1 0 12 May 2025
Unsupervised Graph Anomaly Detection via Multi-Hypersphere Heterophilic Graph Learning Hang Ni Jindong Han Nengjun Zhu Hao Liu 62 0 0 15 Mar 2025
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Karish Grover Geoffrey J. Gordon Christos Faloutsos 78 0 0 12 Feb 2025
DCOR: Anomaly Detection in Attributed Networks via Dual Contrastive Learning Reconstruction Hossein Rafiee Zade Hadi Zare Mohsen Ghassemi Parsa Hadi Davardoust Meshkat Shariat Bagheri 89 1 0 21 Dec 2024
Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts Chaoxi Niu Hezhe Qiao Changlu Chen Ling-Hao Chen Guansong Pang 51 0 0 18 Oct 2024
Towards Cross-domain Few-shot Graph Anomaly Detection Jiazhen Chen Sichao Fu Zhibin Zhang Zheng Ma M. Feng T. Wirjanto Qinmu Peng 41 2 0 11 Oct 2024
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector Jinghan Li Yuan Gao Jinda Lu Sihang Li Congcong Wen Hui Lin Xiang Wang 58 1 0 09 Oct 2024
PieClam: A Universal Graph Autoencoder Based on Overlapping Inclusive and Exclusive Communities Daniel Zilberg Ron Levie 40 0 0 18 Sep 2024
Deep Graph Anomaly Detection: A Survey and New Perspectives Hezhe Qiao Yangqiu Song Bo An Irwin King Charu Aggarwal Guansong Pang 45 6 0 16 Sep 2024
Large Language Models for Anomaly Detection in Computational Workflows: from Supervised Fine-Tuning to In-Context Learning Hongwei Jin George Papadimitriou Krishnan Raghavan Pawel Zuk Prasanna Balaprakash Cong Wang A. Mandal Ewa Deelman 48 1 0 24 Jul 2024
Graph Anomaly Detection with Noisy Labels by Reinforcement Learning Zhu Wang Shuang Zhou Junnan Dong Chang Yang Xiao Huang Shengjie Zhao 45 1 0 08 Jul 2024
Higher-order Structure Based Anomaly Detection on Attributed Networks Xu Yuan Na Zhou Shuo Yu Huafei Huang Zhikui Chen Feng Xia 35 42 0 07 Jun 2024
Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement Wenjing Chang Kay Liu Philip S. Yu Jianjun Yu 76 2 0 03 Jun 2024
Towards a Unified Framework of Clustering-based Anomaly Detection Zeyu Fang Ming Gu Sheng Zhou Jiawei Chen Qiaoyu Tan Haishuai Wang Jiajun Bu 51 0 0 01 Jun 2024
Learning-Based Link Anomaly Detection in Continuous-Time Dynamic Graphs Tim Postuvan Claas Grohnfeldt Michele Russo Giulio Lovisotto 37 2 0 28 May 2024
ARC: A Generalist Graph Anomaly Detector with In-Context Learning Yixin Liu Shiyuan Li Yu Zheng Qingfeng Chen Chengqi Zhang Shirui Pan 48 11 0 27 May 2024
Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective Zhiwei Zhang Min Lin Enyan Dai Suhang Wang AAML 21 10 0 17 May 2024
Guarding Graph Neural Networks for Unsupervised Graph Anomaly Detection Yuan-Qi Bei Sheng Zhou Jinke Shi Yao Ma Haishuai Wang Jiajun Bu 42 1 0 25 Apr 2024
Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks Jing Gu Dongmian Zou 47 3 0 06 Mar 2024
Generative Semi-supervised Graph Anomaly Detection Hezhe Qiao Qingsong Wen Xiaoli Li Ee-Peng Lim Guansong Pang 50 8 0 19 Feb 2024
PhoGAD: Graph-based Anomaly Behavior Detection with Persistent Homology Optimization Ziqi Yuan Haoyi Zhou Tianyu Chen Jianxin Li 21 2 0 19 Jan 2024
ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection Junwei He Qianqian Xu Yangbangyan Jiang Zitai Wang Qingming Huang 23 22 0 22 Dec 2023
Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection Yuan-Qi Bei Sheng Zhou Qiaoyu Tan Hao Xu Hao Chen Zhao Li Jiajun Bu 42 15 0 09 Dec 2023
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
GraphCloak: Safeguarding Task-specific Knowledge within Graph-structured Data from Unauthorized Exploitation Yixin Liu Chenrui Fan Xun Chen Pan Zhou Lichao Sun 64 4 0 11 Oct 2023
GLAD: Content-aware Dynamic Graphs For Log Anomaly Detection Yufei Li Yanchi Liu Haoyu Wang Zhengzhang Chen Wei Cheng Yuncong Chen Wenchao Yu Haifeng Chen Cong Liu 29 5 0 12 Sep 2023
Class Label-aware Graph Anomaly Detection Junghoon Kim Yeonjun In Kanghoon Yoon Junmo Lee Chanyoung Park 25 9 0 22 Aug 2023
Label-based Graph Augmentation with Metapath for Graph Anomaly Detection Hwan Kim Junghoon Kim Byung Suk Lee Sungsu Lim 32 0 0 21 Aug 2023
Imbalanced Large Graph Learning Framework for FPGA Logic Elements Packing Prediction Zhixiong Di Runzhe Tao Lin Chen Qiang Wu Yibo Lin 25 0 0 07 Aug 2023
Discriminative Graph-level Anomaly Detection via Dual-students-teacher Model Fu Lin Xuexiong Luo Jia Wu Jian Yang Shan Xue Zitong Wang Haonan Gong 32 6 0 03 Aug 2023
BOURNE: Bootstrapped Self-supervised Learning Framework for Unified Graph Anomaly Detection Jie Liu Mengting He Xuequn Shang Jieming Shi Bin Cui Hongzhi Yin 29 9 0 28 Jul 2023
Flow-Bench: A Dataset for Computational Workflow Anomaly Detection George Papadimitriou Hongwei Jin Cong Wang Rajiv Mayani Krishnan Raghavan A. Mandal Prasanna Balaprakash Ewa Deelman 18 3 0 16 Jun 2023
GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction Amit Roy Juan Shu Jia Li Carl Yang Olivier Elshocht Jeroen Smeets P. Li 53 40 0 02 Jun 2023
Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection Hezhe Qiao Guansong Pang 32 25 0 29 May 2023
Revisiting Graph Contrastive Learning for Anomaly Detection Zhiyuan Liu Chunjie Cao Fangjian Tao Jingzhang Sun 41 5 0 04 May 2023
Subgraph Centralization: A Necessary Step for Graph Anomaly Detection Zhuang Zhong Kai Ming Ting Guansong Pang Shuaibin Song 27 7 0 17 Jan 2023
Mul-GAD: a semi-supervised graph anomaly detection framework via aggregating multi-view information Zhiyuan Liu Chunjie Cao Jingzhang Sun 29 9 0 11 Dec 2022
ARISE: Graph Anomaly Detection on Attributed Networks via Substructure Awareness Jingcan Duan Bin Xiao Siwei Wang Haifang Zhou Xinwang Liu AI4TS 22 10 0 28 Nov 2022
Unsupervised Graph Outlier Detection: Problem Revisit, New Insight, and Superior Method Yihong Huang Liping Wang Fan Zhang Xuemin Lin 31 20 0 24 Oct 2022
DAGAD: Data Augmentation for Graph Anomaly Detection Fanzhen Liu Xiaoxiao Ma Jia Wu Jian Yang Shan Xue Amin Beheshti Chuan Zhou Hao Peng Quan.Z Sheng Charu C. Aggarwal 33 43 0 18 Oct 2022
tegdet: An extensible Python Library for Anomaly Detection using Time-Evolving Graphs Simona Bernardi José Merseguer Raúl Javierre AI4TS 21 2 0 17 Oct 2022
Graph Anomaly Detection with Graph Neural Networks: Current Status and Challenges Hwan Kim Byung Suk Lee Won-Yong Shin Sungsu Lim GNN 25 66 0 29 Sep 2022
Hyperbolic Self-supervised Contrastive Learning Based Network Anomaly Detection Yuan Shi 19 0 0 12 Sep 2022
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs Kay Liu Yingtong Dou Yue Zhao Xueying Ding Xiyang Hu ... Lichao Sun Jundong Li George H. Chen Zhihao Jia Philip S. Yu OOD 23 91 0 21 Jun 2022
PyGOD: A Python Library for Graph Outlier Detection Kay Liu Yingtong Dou Xueying Ding Xiyang Hu Ruitong Zhang Hao Peng Kai Shu Philip S. Yu AI4TS 29 50 0 26 Apr 2022
Keeping Deep Lithography Simulators Updated: Global-Local Shape-Based Novelty Detection and Active Learning Hao-Chiang Shao Hsing-Lei Ping Kuo-shiuan Chen Weng-Tai Su Chia-Wen Lin Shao-Yun Fang Pin-Yian Tsai Yan-Hsiu Liu 30 7 0 24 Jan 2022
Deep Dual Support Vector Data Description for Anomaly Detection on Attributed Networks Fengbin Zhang Haoyi Fan Ruidong Wang Zuoyong Li Tiancai Liang 24 31 0 01 Sep 2021
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning Xiaoxiao Ma Jia Wu Shan Xue Jian Yang Chuan Zhou Quan Z. Sheng Hui Xiong Leman Akoglu GNN AI4TS 53 540 0 14 Jun 2021
Graph Convolutional Networks for traffic anomaly Yue Hu Ao Qu D. Work GNN 24 9 0 25 Dec 2020