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Semi-supervised Anomaly Detection on Attributed Graphs

Semi-supervised Anomaly Detection on Attributed Graphs

IEEE International Joint Conference on Neural Network (IJCNN), 2020
27 February 2020
Atsutoshi Kumagai
Tomoharu Iwata
Yasuhiro Fujiwara
ArXiv (abs)PDFHTML

Papers citing "Semi-supervised Anomaly Detection on Attributed Graphs"

21 / 21 papers shown
MPOCryptoML: Multi-Pattern based Off-Chain Crypto Money Laundering Detection
MPOCryptoML: Multi-Pattern based Off-Chain Crypto Money Laundering Detection
Yasaman Samadi
Hai Dong
Xiaoyu Xia
200
1
0
18 Aug 2025
Graph Evidential Learning for Anomaly Detection
Graph Evidential Learning for Anomaly Detection
Chunyu Wei
Wenji Hu
Xingjia Hao
Yunhai Wang
Yueguo Chen
Bing Bai
Haiwei Yang
205
2
0
31 May 2025
Unsupervised Graph Anomaly Detection via Multi-Hypersphere Heterophilic Graph Learning
Unsupervised Graph Anomaly Detection via Multi-Hypersphere Heterophilic Graph Learning
Hang Ni
Jindong Han
Nengjun Zhu
Hao Liu
240
2
0
15 Mar 2025
Semi-supervised Anomaly Detection with Extremely Limited Labels in Dynamic Graphs
Semi-supervised Anomaly Detection with Extremely Limited Labels in Dynamic Graphs
Jiazhen Chen
Sichao Fu
Zheng Ma
M. Feng
T. Wirjanto
Qinmu Peng
287
4
0
25 Jan 2025
Toward Reasoning on the Boundary: A Mixup-based Approach for Graph Anomaly Detection
Toward Reasoning on the Boundary: A Mixup-based Approach for Graph Anomaly Detection
Hwan Kim
Junghoon Kim
Sungsu Lim
199
0
0
27 Oct 2024
Towards Cross-domain Few-shot Graph Anomaly Detection
Towards Cross-domain Few-shot Graph Anomaly DetectionIndustrial Conference on Data Mining (IDM), 2024
Jiazhen Chen
Sichao Fu
Zhibin Zhang
Zheng Ma
M. Feng
T. Wirjanto
Qinmu Peng
320
8
0
11 Oct 2024
Counterfactual Data Augmentation with Denoising Diffusion for Graph
  Anomaly Detection
Counterfactual Data Augmentation with Denoising Diffusion for Graph Anomaly Detection
Chunjing Xiao
Shikang Pang
Xovee Xu
Xuan Li
Goce Trajcevski
Fan Zhou
DiffM
324
16
0
02 Jul 2024
PhoGAD: Graph-based Anomaly Behavior Detection with Persistent Homology
  Optimization
PhoGAD: Graph-based Anomaly Behavior Detection with Persistent Homology Optimization
Ziqi Yuan
Haoyi Zhou
Tianyu Chen
Jianxin Li
249
8
0
19 Jan 2024
Normality Learning-based Graph Anomaly Detection via Multi-Scale
  Contrastive Learning
Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive LearningACM Multimedia (ACM MM), 2023
Jingcan Duan
Pei Zhang
Siwei Wang
Jingtao Hu
Hu Jin
Jiaxin Zhang
Haifang Zhou
Xinwang Liu
378
25
0
12 Sep 2023
Label-based Graph Augmentation with Metapath for Graph Anomaly Detection
Label-based Graph Augmentation with Metapath for Graph Anomaly DetectionExpert systems with applications (ESWA), 2023
Hwan Kim
Junghoon Kim
Byung Suk Lee
Sungsu Lim
290
1
0
21 Aug 2023
Graph-level Anomaly Detection via Hierarchical Memory Networks
Graph-level Anomaly Detection via Hierarchical Memory Networks
Chaoxi Niu
Guansong Pang
Ling-Hao Chen
267
28
0
03 Jul 2023
AnoOnly: Semi-Supervised Anomaly Detection with the Only Loss on
  Anomalies
AnoOnly: Semi-Supervised Anomaly Detection with the Only Loss on AnomaliesExpert systems with applications (ESWA), 2023
Yixuan Zhou
Peiyu Yang
Yi Qu
Xing Xu
Zhe Sun
Andrzej Cichocki
220
10
0
30 May 2023
Weakly Supervised Anomaly Detection: A Survey
Weakly Supervised Anomaly Detection: A Survey
Minqi Jiang
Chaochuan Hou
Ao Zheng
Xiyang Hu
Songqiao Han
Hailiang Huang
Xiangnan He
Philip S. Yu
Yue Zhao
325
42
0
09 Feb 2023
Graph Anomaly Detection with Unsupervised GNNs
Graph Anomaly Detection with Unsupervised GNNs
Lingxiao Zhao
Saurabh Sawlani
Arvind Srinivasan
Leman Akoglu
295
24
0
18 Oct 2022
Graph Anomaly Detection with Graph Neural Networks: Current Status and
  Challenges
Graph Anomaly Detection with Graph Neural Networks: Current Status and ChallengesIEEE Access (IEEE Access), 2022
Hwan Kim
Byung Suk Lee
Won-Yong Shin
Sungsu Lim
GNN
311
129
0
29 Sep 2022
Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation
Deep Graph-level Anomaly Detection by Glocal Knowledge DistillationWeb Search and Data Mining (WSDM), 2021
Rongrong Ma
Guansong Pang
Ling-Hao Chen
Anton Van Den Hengel
324
122
0
19 Dec 2021
Sketch-Based Anomaly Detection in Streaming Graphs
Sketch-Based Anomaly Detection in Streaming GraphsKnowledge Discovery and Data Mining (KDD), 2021
Siddharth Bhatia
Mohit Wadhwa
Kenji Kawaguchi
Neil Shah
Philip S. Yu
Bryan Hooi
395
33
0
08 Jun 2021
Few-shot Network Anomaly Detection via Cross-network Meta-learning
Few-shot Network Anomaly Detection via Cross-network Meta-learningThe Web Conference (WWW), 2021
Kaize Ding
Qinghai Zhou
Hanghang Tong
Huan Liu
272
155
0
22 Feb 2021
Graph Convolutional Networks for traffic anomaly
Graph Convolutional Networks for traffic anomaly
Yue Hu
Ao Qu
D. Work
GNN
271
11
0
25 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
149
2
0
10 Nov 2020
Graph Fairing Convolutional Networks for Anomaly Detection
Graph Fairing Convolutional Networks for Anomaly DetectionPattern Recognition (Pattern Recognit.), 2020
Mahsa Mesgaran
A. Ben Hamza
258
37
0
20 Oct 2020
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