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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
Yulong Pei
Tianjin Huang
Werner van Ipenburg
Mykola Pechenizkiy
    GNN
ArXiv (abs)PDFHTML

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
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
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
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
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
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
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
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
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
GNNAI4TS
118
571
0
14 Jun 2021
Pseudo-Riemannian Graph Convolutional Networks
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
Hop-Count Based Self-Supervised Anomaly Detection on Attributed Networks
Tianjin Huang
Yulong Pei
Vlado Menkovski
Mykola Pechenizkiy
89
34
0
16 Apr 2021
1