ResGCN: Attention-based Deep Residual Modeling for Anomaly Detection on
Attributed Networks

ResGCN: Attention-based Deep Residual Modeling for Anomaly Detection on Attributed Networks

30 September 2020

Werner van Ipenburg

Mykola Pechenizkiy

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Papers citing "ResGCN: Attention-based Deep Residual Modeling for Anomaly Detection on Attributed Networks"

10 / 10 papers shown

Title
Deep Graph Anomaly Detection: A Survey and New Perspectives Hezhe Qiao Hanghang Tong Bo An Irwin King Charu Aggarwal Guansong Pang 87 8 0 16 Sep 2024
A Novel Self-Supervised Learning-Based Anomaly Node Detection Method Based on an Autoencoder in Wireless Sensor Networks Miao Ye Qinghao Zhang Xingsi Xue Yong Wang Qiuxiang Jiang Hongbing Qiu 33 0 0 26 Dec 2022
Graph Anomaly Detection with Graph Neural Networks: Current Status and Challenges Hwan Kim Byung Suk Lee Won-Yong Shin Sungsu Lim GNN 74 74 0 29 Sep 2022
GCN-based Multi-task Representation Learning for Anomaly Detection in Attributed Networks Venus Haghighi Behnaz Soltani A. Mahmood Quan.Z Sheng Jian Yang 45 1 0 08 Jul 2022
Deep Transfer Learning with Graph Neural Network for Sensor-Based Human Activity Recognition Yan Yan T. Liao Jinjin Zhao Jiahong Wang Liang Ma Wei Lv Jing Xiong Lei Wang 65 20 0 14 Mar 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 72 15 0 19 Feb 2022
GraphAnoGAN: Detecting Anomalous Snapshots from Attributed Graphs Siddharth Bhatia Yiwei Wang Bryan Hooi Tanmoy Chakraborty 100 5 0 29 Jun 2021
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning Xiaoxiao Ma Hongzhi Zhang Shan Xue Jian Yang Chuan Zhou Quan Z. Sheng Hui Xiong Leman Akoglu GNN AI4TS 118 571 0 14 Jun 2021
Pseudo-Riemannian Graph Convolutional Networks Bo Xiong Shichao Zhu Nico Potyka Shirui Pan Chuan Zhou Steffen Staab GNN 105 28 0 06 Jun 2021
Hop-Count Based Self-Supervised Anomaly Detection on Attributed Networks Tianjin Huang Yulong Pei Vlado Menkovski Mykola Pechenizkiy 89 34 0 16 Apr 2021