Anomaly Detection on Attributed Networks via Contrastive Self-Supervised
Learning

Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning

27 February 2021

George Karypis

Papers citing "Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning"

19 / 119 papers shown

Title
Semi-WTC: A Practical Semi-supervised Framework for Attack Categorization through Weight-Task Consistency Zihan Li Wentao Chen Zhiqing Wei Xi Luo Bing-Huang Su 15 8 0 19 May 2022
Self-Supervised Anomaly Detection in Computer Vision and Beyond: A Survey and Outlook H. Hojjati Thi Kieu Khanh Ho Narges Armanfard 11 34 0 10 May 2022
Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks Jiaqiang Zhang Senzhang Wang Songcan Chen 11 42 0 10 May 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 9 48 0 26 Apr 2022
Projective Ranking-based GNN Evasion Attacks He Zhang Xingliang Yuan Chuan Zhou Shirui Pan AAML 26 23 0 25 Feb 2022
A Novel Anomaly Detection Method for Multimodal WSN Data Flow via a Dynamic Graph Neural Network Qinghao Zhang Miao Ye Hongbing Qiu Yong Wang Xiaofang Deng 12 13 0 19 Feb 2022
Graph Neural Networks for Graphs with Heterophily: A Survey Xin-Yang Zheng Yi Wang Yixin Liu Ming Li Miao Zhang Di Jin Philip S. Yu Shirui Pan 6 213 0 14 Feb 2022
From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale Contrastive Learning Approach Yu Zheng Ming Jin Yixin Liu Lianhua Chi Khoa T. Phan Shirui Pan Yi-Ping Phoebe Chen 8 13 0 11 Feb 2022
Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming Yizhen Zheng Ming Jin Shirui Pan Yuan-Fang Li Hao Peng Ming Li Zhao‐Rui Li SSL 15 18 0 20 Nov 2021
Taming Self-Supervised Learning for Presentation Attack Detection: De-Folding and De-Mixing Zhe Kong Wentian Zhang Feng Liu Wenhan Luo Haozhe Liu Linlin Shen Raghavendra Ramachandra AAML 27 6 0 09 Sep 2021
TraverseNet: Unifying Space and Time in Message Passing for Traffic Forecasting Zonghan Wu Da Zheng Shirui Pan Quan Gan Guodong Long George Karypis AI4TS 14 31 0 25 Aug 2021
Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection Yu Zheng Ming Jin Yixin Liu Lianhua Chi K. Phan Yi-Ping Phoebe Chen 14 120 0 23 Aug 2021
Graph Contrastive Learning for Anomaly Detection Bo Chen Jing Zhang Xiaokang Zhang Yuxiao Dong Jian Song Peng-Zhen Zhang Kai Xu Evgeny Kharlamov Jie Tang 13 41 0 17 Aug 2021
Unsupervised Outlier Detection using Memory and Contrastive Learning Ning Huyan Dou Quan Xiangrong Zhang Xuefeng Liang Jocelyn Chanussot L. Jiao 24 21 0 27 Jul 2021
Anomaly Detection in Dynamic Graphs via Transformer Yixin Liu Shirui Pan Yu Guang Wang Fei Xiong Liang Wang Qingfeng Chen V. C. Lee 12 66 0 18 Jun 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 18 411 0 14 Jun 2021
FedProto: Federated Prototype Learning across Heterogeneous Clients Yue Tan Guodong Long Lu Liu Tianyi Zhou Qinghua Lu Jing Jiang Chengqi Zhang FedML 135 287 0 01 May 2021
Graph Self-Supervised Learning: A Survey Yixin Liu Ming Jin Shirui Pan Chuan Zhou Yu Zheng Feng Xia Philip S. Yu SSL 8 534 0 27 Feb 2021
Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Quanyu Dai Xiao-Ming Wu Jiaren Xiao Xiao Shen Dan Wang OOD 13 84 0 04 Sep 2019