Anomaly Detection in Dynamic Graphs via Transformer

18 June 2021

Papers citing "Anomaly Detection in Dynamic Graphs via Transformer"

44 / 44 papers shown

Title
Structural-Temporal Coupling Anomaly Detection with Dynamic Graph Transformer Chang Zong Yueting Zhuang Jian Shao Weiming Lu 39 0 0 13 May 2025
UniDyG: A Unified and Effective Representation Learning Approach for Large Dynamic Graphs Yuanyuan Xu Wenjie Zhang Xuemin Lin Y. Zhang AI4TS 39 0 0 23 Feb 2025
Semi-supervised Anomaly Detection with Extremely Limited Labels in Dynamic Graphs Jiazhen Chen Sichao Fu Zheng Ma M. Feng T. Wirjanto Qinmu Peng 40 0 0 25 Jan 2025
A Generalizable Anomaly Detection Method in Dynamic Graphs Xiao Yang Xuejiao Zhao Zhiqi Shen 73 1 0 21 Dec 2024
A Comparative Study on Dynamic Graph Embedding based on Mamba and Transformers Ashish Parmanand Pandey Alan John Varghese Sarang Patil Mengjia Xu Mamba 120 0 0 15 Dec 2024
Extreme Value Modelling of Feature Residuals for Anomaly Detection in Dynamic Graphs Sevvandi Kandanaarachchi Conrad Sanderson Rob J. Hyndman 27 0 0 08 Oct 2024
STGformer: Efficient Spatiotemporal Graph Transformer for Traffic Forecasting Hongjun Wang Jiyuan Chen Tong Pan Zheng Dong Lingyu Zhang Renhe Jiang Xuan Song AI4TS GNN 42 0 0 01 Oct 2024
Supra-Laplacian Encoding for Transformer on Dynamic Graphs Yannis Karmim Marc Lafon Raphael Fournier SÑiehotta Nicolas Thome 30 0 0 26 Sep 2024
Deep Graph Anomaly Detection: A Survey and New Perspectives Hezhe Qiao Hanghang Tong Bo An Irwin King Charu Aggarwal Guansong Pang 35 6 0 16 Sep 2024
A Methodological Report on Anomaly Detection on Dynamic Knowledge Graphs Xiaohua Lu Leshanshui Yang 48 0 0 12 Aug 2024
Online Detection of Anomalies in Temporal Knowledge Graphs with Interpretability Jiasheng Zhang Jie Shao Rex Ying 29 0 0 01 Aug 2024
Temporal receptive field in dynamic graph learning: A comprehensive analysis Yannis Karmim Leshanshui Yang Raphael Fournier SÑiehotta Clément Chatelain Sébastien Adam Nicolas Thome 30 1 0 17 Jul 2024
Graph Transformers: A Survey Ahsan Shehzad Feng Xia Shagufta Abid Ciyuan Peng Shuo Yu Dongyu Zhang Karin Verspoor AI4CE 34 9 0 13 Jul 2024
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey Ocheme Anthony Ekle William Eberle AI4TS 32 10 0 31 May 2024
ARC: A Generalist Graph Anomaly Detector with In-Context Learning Yixin Liu Shiyuan Li Yu Zheng Qingfeng Chen Chengqi Zhang Shirui Pan 40 10 0 27 May 2024
AnomalyLLM: Few-shot Anomaly Edge Detection for Dynamic Graphs using Large Language Models Shuo Liu Di Yao Lanting Fang Zhetao Li Wenbin Li Kaiyu Feng XiaoWen Ji Jingping Bi 43 2 0 13 May 2024
Anomaly Detection in Graph Structured Data: A Survey Prabin B. Lamichhane William Eberle 38 3 0 10 May 2024
RAGFormer: Learning Semantic Attributes and Topological Structure for Fraud Detection Haolin Li Shuyang Jiang Lifeng Zhang Siyuan Du Guangnan Ye Hongfeng Chai 22 0 0 27 Feb 2024
SLADE: Detecting Dynamic Anomalies in Edge Streams without Labels via Self-Supervised Learning Jongha Lee Sunwoo Kim Kijung Shin AI4TS 46 3 0 19 Feb 2024
TransNAS-TSAD: Harnessing Transformers for Multi-Objective Neural Architecture Search in Time Series Anomaly Detection Ijazul Haq Byung Suk Lee Donna M. Rizzo AI4TS 18 5 0 29 Nov 2023
GADY: Unsupervised Anomaly Detection on Dynamic Graphs Shiqi Lou Qingyue Zhang Shujie Yang Yuyang Tian Zhaoxuan Tan Minnan Luo 27 3 0 25 Oct 2023
Restricted Generative Projection for One-Class Classification and Anomaly Detection F. Xiao Ruoyu Sun Jicong Fan UQCV 29 2 0 09 Jul 2023
SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs Sheng Tian Jihai Dong Jintang Li Wenlong Zhao Xiaolong Xu Baokun Wang Bowen Song Changhua Meng Tianyi Zhang Liang Chen 38 30 0 23 May 2023
Detecting Socially Abnormal Highway Driving Behaviors via Recurrent Graph Attention Networks Yue Hu Yuhang Zhang Yanbing Wang D. Work GNN 24 7 0 23 Apr 2023
Dynamic Graph Representation Learning with Neural Networks: A Survey Leshanshui Yang Sébastien Adam Clément Chatelain AI4TS AI4CE 34 14 0 12 Apr 2023
Catch Me If You Can: Semi-supervised Graph Learning for Spotting Money Laundering Md. Rezaul Karim Felix Hermsen S. Chala Paola de Perthuis Avikarsha Mandal 23 4 0 23 Feb 2023
Label Information Enhanced Fraud Detection against Low Homophily in Graphs Yuchen Wang Jinghui Zhang Zhengjie Huang Weibin Li Shi Feng ... Dianhai Yu Fang Dong Jiahui Jin Beilun Wang Junzhou Luo 22 38 0 21 Feb 2023
Graph Anomaly Detection in Time Series: A Survey Thi Kieu Khanh Ho Ali Karami Narges Armanfard AI4TS 24 5 0 31 Jan 2023
IMKGA-SM: Interpretable Multimodal Knowledge Graph Answer Prediction via Sequence Modeling Yilin Wen Biao Luo Yuqian Zhao 15 1 0 06 Jan 2023
Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges Jing Ren Feng Xia Azadeh Noori Hoshyar Charu C. Aggarwal 42 26 0 11 Dec 2022
Anomaly Detection in Multiplex Dynamic Networks: from Blockchain Security to Brain Disease Prediction Ali Behrouz Margo Seltzer 22 19 0 15 Nov 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
Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs: Application to Seizure Analysis Thi Kieu Khanh Ho Narges Armanfard 29 43 0 15 Aug 2022
A Survey of Graph-based Deep Learning for Anomaly Detection in Distributed Systems Armin Danesh Pazho Ghazal Alinezhad Noghre Arnab A. Purkayastha Jagannadh Vempati Otto Martin Hamed Tabkhi GNN 18 35 0 08 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
Self-Supervised Anomaly Detection in Computer Vision and Beyond: A Survey and Outlook H. Hojjati Thi Kieu Khanh Ho Narges Armanfard 24 34 0 10 May 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 18 13 0 11 Feb 2022
TraverseNet: Unifying Space and Time in Message Passing for Traffic Forecasting Zonghan Wu Da Zheng Shirui Pan Quan Gan Guodong Long George Karypis AI4TS 32 32 0 25 Aug 2021
Sketch-Based Anomaly Detection in Streaming Graphs Siddharth Bhatia Mohit Wadhwa Kenji Kawaguchi Neil Shah Philip S. Yu Bryan Hooi 24 17 0 08 Jun 2021
FedProto: Federated Prototype Learning across Heterogeneous Clients Yue Tan Guodong Long Lu Liu Tianyi Zhou Qinghua Lu Jing Jiang Chengqi Zhang FedML 153 459 0 01 May 2021
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning Di Jin Zhizhi Yu Pengfei Jiao Shirui Pan Dongxiao He Jia Wu Philip S. Yu Weixiong Zhang GNN 115 274 0 03 Jan 2021
SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning Zhuowei Wang Jing Jiang Bo Han Lei Feng Bo An Gang Niu Guodong Long NoLa 33 17 0 02 Dec 2020
Heterogeneous Graph Transformer Ziniu Hu Yuxiao Dong Kuansan Wang Yizhou Sun 185 1,170 0 03 Mar 2020
A Survey on Knowledge Graphs: Representation, Acquisition and Applications Shaoxiong Ji Shirui Pan Erik Cambria Pekka Marttinen Philip S. Yu 181 1,940 0 02 Feb 2020