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One-Class Graph Neural Networks for Anomaly Detection in Attributed
  Networks
v1v2 (latest)

One-Class Graph Neural Networks for Anomaly Detection in Attributed Networks

22 February 2020
Xuhong Wang
Baihong Jin
Ying Du
Ping Cui
Yupu Yang
    GNN
ArXiv (abs)PDFHTML

Papers citing "One-Class Graph Neural Networks for Anomaly Detection in Attributed Networks"

7 / 7 papers shown
ADAMM: Anomaly Detection of Attributed Multi-graphs with Metadata: A
  Unified Neural Network Approach
ADAMM: Anomaly Detection of Attributed Multi-graphs with Metadata: A Unified Neural Network ApproachBigData Congress [Services Society] (BSS), 2023
Konstantinos Sotiropoulos
Lingxiao Zhao
Pierre Jinghong Liang
Leman Akoglu
375
5
0
13 Nov 2023
Graph Anomaly Detection with Unsupervised GNNs
Graph Anomaly Detection with Unsupervised GNNs
Lingxiao Zhao
Saurabh Sawlani
Arvind Srinivasan
Leman Akoglu
294
24
0
18 Oct 2022
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
A Comprehensive Survey on Graph Anomaly Detection with Deep LearningIEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Xiaoxiao Ma
Hongzhi Zhang
Shan Xue
Jian Yang
Chuan Zhou
Quan Z. Sheng
Hui Xiong
Leman Akoglu
GNNAI4TS
491
766
0
14 Jun 2021
How effective are Graph Neural Networks in Fraud Detection for Network
  Data?
How effective are Graph Neural Networks in Fraud Detection for Network Data?
Ronald D. R. Pereira
Fabrício Murai
GNN
161
10
0
30 May 2021
On Using Classification Datasets to Evaluate Graph-Level Outlier
  Detection: Peculiar Observations and New Insights
On Using Classification Datasets to Evaluate Graph-Level Outlier Detection: Peculiar Observations and New InsightsBig Data (BD), 2020
Lingxiao Zhao
Leman Akoglu
573
81
0
23 Dec 2020
Statistical learning for change point and anomaly detection in graphs
Statistical learning for change point and anomaly detection in graphs
A. Malinovskaya
Philipp Otto
T. Peters
146
2
0
10 Nov 2020
Semi-supervised Anomaly Detection on Attributed Graphs
Semi-supervised Anomaly Detection on Attributed GraphsIEEE International Joint Conference on Neural Network (IJCNN), 2020
Atsutoshi Kumagai
Tomoharu Iwata
Yasuhiro Fujiwara
232
50
0
27 Feb 2020
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