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2002.03665
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AnomalyDAE: Dual autoencoder for anomaly detection on attributed networks
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
10 February 2020
Haoyi Fan
Fengbin Zhang
Zuoyong Li
Re-assign community
ArXiv (abs)
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Papers citing
"AnomalyDAE: Dual autoencoder for anomaly detection on attributed networks"
50 / 61 papers shown
LLM-Powered Text-Attributed Graph Anomaly Detection via Retrieval-Augmented Reasoning
Haoyan Xu
Ruizhi Qian
Zhengtao Yao
Ziyi Liu
L. Li
...
Daniele Rosa
Daniel Barcklow
Senthil Kumar
Jieyu Zhao
Yue Zhao
140
1
0
16 Nov 2025
Explainable Heterogeneous Anomaly Detection in Financial Networks via Adaptive Expert Routing
Zan Li
Rui Fan
102
0
0
20 Oct 2025
OCR-APT: Reconstructing APT Stories from Audit Logs using Subgraph Anomaly Detection and LLMs
Ahmed Aly
Essam Mansour
Amr Youssef
187
9
0
16 Oct 2025
Combining Euclidean and Hyperbolic Representations for Node-level Anomaly Detection
Simone Mungari
Ettore Ritacco
Pietro Sabatino
157
0
0
13 Oct 2025
Normality Calibration in Semi-supervised Graph Anomaly Detection
Guolei Zeng
Hezhe Qiao
Guoguo Ai
Jinsong Guo
Guansong Pang
178
1
0
02 Oct 2025
GRASPED: Graph Anomaly Detection using Autoencoder with Spectral Encoder and Decoder (Full Version)
Wei Herng Choong
Jixing Liu
Ching-yu Kao
Philip Sperl
250
1
0
21 Aug 2025
FreeGAD: A Training-Free yet Effective Approach for Graph Anomaly Detection
Yunfeng Zhao
Yixin Liu
Shiyuan Li
Qingfeng Chen
Yu Zheng
Shirui Pan
272
6
0
14 Aug 2025
Semi-supervised Graph Anomaly Detection via Robust Homophily Learning
Guoguo Ai
Hezhe Qiao
Hui Yan
Guansong Pang
418
1
0
18 Jun 2025
How to Use Graph Data in the Wild to Help Graph Anomaly Detection?
Knowledge Discovery and Data Mining (KDD), 2025
Yuxuan Cao
Jiarong Xu
Chen Zhao
Jiaan Wang
Carl Yang
Chunping Wang
Yang Yang
OOD
412
2
0
04 Jun 2025
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
Rethinking Contrastive Learning in Graph Anomaly Detection: A Clean-View Perspective
International Joint Conference on Artificial Intelligence (IJCAI), 2025
Di Jin
Jingyi Cao
Xiaobao Wang
Bingdao Feng
Dongxiao He
Longbiao Wang
Jianwu Dang
427
0
0
23 May 2025
EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection
IEEE Intelligent Systems (IS), 2023
Jing Ren
Mingliang Hou
Zhixuan Liu
Xiaomei Bai
425
2
0
12 May 2025
Unsupervised Graph Anomaly Detection via Multi-Hypersphere Heterophilic Graph Learning
Hang Ni
Jindong Han
Nengjun Zhu
Hao Liu
239
2
0
15 Mar 2025
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection
Karish Grover
Geoffrey J. Gordon
Christos Faloutsos
473
0
0
12 Feb 2025
DCOR: Anomaly Detection in Attributed Networks via Dual Contrastive Learning Reconstruction
Hossein Rafiee Zade
Hadi Zare
Mohsen Ghassemi Parsa
Hadi Davardoust
Meshkat Shariat Bagheri
379
2
0
21 Dec 2024
Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts
International Joint Conference on Artificial Intelligence (IJCAI), 2024
Chaoxi Niu
Hezhe Qiao
Changlu Chen
Ling-Hao Chen
Guansong Pang
371
15
0
18 Oct 2024
Towards Cross-domain Few-shot Graph Anomaly Detection
Industrial 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
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector
International Conference on Learning Representations (ICLR), 2024
Jinghan Li
Yuan Gao
Jinda Lu
Cunchun Li
Congcong Wen
Hui Lin
Xiang Wang
536
12
0
09 Oct 2024
PieClam: A Universal Graph Autoencoder Based on Overlapping Inclusive and Exclusive Communities
Daniel Zilberg
Ron Levie
282
1
0
18 Sep 2024
Deep Graph Anomaly Detection: A Survey and New Perspectives
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
Hezhe Qiao
Hanghang Tong
Bo An
Irwin King
Charu Aggarwal
Guansong Pang
396
60
0
16 Sep 2024
Large Language Models for Anomaly Detection in Computational Workflows: from Supervised Fine-Tuning to In-Context Learning
Hongwei Jin
George Papadimitriou
Krishnan Raghavan
Pawel Zuk
Dali Wang
Cong Wang
A. Mandal
Ewa Deelman
224
13
0
24 Jul 2024
Balanced Edge Pruning for Graph Anomaly Detection with Noisy Labels
Zhu Wang
Shuang Zhou
Hao-Heng Chen
Chang Yang
Shengjie Zhao
Shengjie Zhao
282
2
0
08 Jul 2024
Higher-order Structure Based Anomaly Detection on Attributed Networks
Xu Yuan
Na Zhou
Shuo Yu
Huafei Huang
Zhikui Chen
Xiwei Xu
353
67
0
07 Jun 2024
Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement
Wenjing Chang
Kay Liu
Philip S. Yu
Jianjun Yu
545
4
0
03 Jun 2024
Towards a Unified Framework of Clustering-based Anomaly Detection
Zeyu Fang
Ming Gu
Sheng Zhou
Jiawei Chen
Qiaoyu Tan
Haishuai Wang
Jiajun Bu
258
3
0
01 Jun 2024
Learning-Based Link Anomaly Detection in Continuous-Time Dynamic Graphs
Tim Postuvan
Claas Grohnfeldt
Michele Russo
Giulio Lovisotto
303
5
0
28 May 2024
ARC: A Generalist Graph Anomaly Detector with In-Context Learning
Yixin Liu
Shiyuan Li
Yu Zheng
Qingfeng Chen
Chengqi Zhang
Shirui Pan
319
45
0
27 May 2024
Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective
Knowledge Discovery and Data Mining (KDD), 2024
Zhiwei Zhang
Min Lin
Enyan Dai
Suhang Wang
AAML
396
35
0
17 May 2024
Guarding Graph Neural Networks for Unsupervised Graph Anomaly Detection
Yuanchen Bei
Sheng Zhou
Jinke Shi
Yao Ma
Haishuai Wang
Jiajun Bu
329
5
0
25 Apr 2024
Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks
Jing Gu
Dongmian Zou
285
6
0
06 Mar 2024
Generative Semi-supervised Graph Anomaly Detection
Hezhe Qiao
Qingsong Wen
Xiaoli Li
Ee-Peng Lim
Guansong Pang
325
28
0
19 Feb 2024
PhoGAD: Graph-based Anomaly Behavior Detection with Persistent Homology Optimization
Ziqi Yuan
Haoyi Zhou
Tianyu Chen
Jianxin Li
247
8
0
19 Jan 2024
ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection
Junwei He
Qianqian Xu
Yangbangyan Jiang
Zitai Wang
Qingming Huang
258
68
0
22 Dec 2023
Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection
Industrial Conference on Data Mining (IDM), 2023
Yuanchen Bei
Sheng Zhou
Qiaoyu Tan
Hao Xu
Hao Chen
Zhao Li
Jiajun Bu
287
21
0
09 Dec 2023
PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection
Industrial Conference on Data Mining (IDM), 2023
Junjun Pan
Yixin Liu
Yizhen Zheng
Shirui Pan
378
34
0
18 Oct 2023
GraphCloak: Safeguarding Task-specific Knowledge within Graph-structured Data from Unauthorized Exploitation
Yixin Liu
Chenrui Fan
Xun Chen
Pan Zhou
Lichao Sun
295
4
0
11 Oct 2023
GLAD: Content-aware Dynamic Graphs For Log Anomaly Detection
Yufei Li
Yanchi Liu
Haoyu Wang
Zhengzhang Chen
Wei Cheng
Yuncong Chen
Wenchao Yu
Haifeng Chen
Cong Liu
267
15
0
12 Sep 2023
Class Label-aware Graph Anomaly Detection
International Conference on Information and Knowledge Management (CIKM), 2023
Junghoon Kim
Yeonjun In
Kanghoon Yoon
Junmo Lee
Chanyoung Park
144
13
0
22 Aug 2023
Label-based Graph Augmentation with Metapath for Graph Anomaly Detection
Expert systems with applications (ESWA), 2023
Hwan Kim
Junghoon Kim
Byung Suk Lee
Sungsu Lim
289
1
0
21 Aug 2023
Imbalanced Large Graph Learning Framework for FPGA Logic Elements Packing Prediction
Zhixiong Di
Runzhe Tao
Lin Chen
Qiang Wu
Yibo Lin
199
0
0
07 Aug 2023
Discriminative Graph-level Anomaly Detection via Dual-students-teacher Model
International Conference on Advanced Data Mining and Applications (ADMA), 2023
Fu Lin
Xuexiong Luo
Hongzhi Zhang
Jian Yang
Shan Xue
Zitong Wang
Haonan Gong
137
8
0
03 Aug 2023
BOURNE: Bootstrapped Self-supervised Learning Framework for Unified Graph Anomaly Detection
IEEE International Conference on Data Engineering (ICDE), 2023
Jie Liu
Mengting He
Xuequn Shang
Jieming Shi
Tengjiao Wang
Hongzhi Yin
306
18
0
28 Jul 2023
Flow-Bench: A Dataset for Computational Workflow Anomaly Detection
George Papadimitriou
Hongwei Jin
Cong Wang
Rajiv Mayani
Krishnan Raghavan
A. Mandal
Dali Wang
Ewa Deelman
348
3
0
16 Jun 2023
GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction
Web Search and Data Mining (WSDM), 2023
Amit Roy
Juan Shu
Jia Li
Carl Yang
Olivier Elshocht
Jeroen Smeets
P. Li
769
117
0
02 Jun 2023
Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection
Neural Information Processing Systems (NeurIPS), 2023
Hezhe Qiao
Guansong Pang
613
52
0
29 May 2023
Revisiting Graph Contrastive Learning for Anomaly Detection
European Conference on Artificial Intelligence (ECAI), 2023
Zhiyuan Liu
Chunjie Cao
Fangjian Tao
Jingzhang Sun
235
8
0
04 May 2023
Subgraph Centralization: A Necessary Step for Graph Anomaly Detection
SDM (SDM), 2023
Zhuang Zhong
Kai Ming Ting
Guansong Pang
Shuaibin Song
222
10
0
17 Jan 2023
Mul-GAD: a semi-supervised graph anomaly detection framework via aggregating multi-view information
Zhiyuan Liu
Chunjie Cao
Jingzhang Sun
186
10
0
11 Dec 2022
ARISE: Graph Anomaly Detection on Attributed Networks via Substructure Awareness
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Jingcan Duan
Bin Xiao
Siwei Wang
Haifang Zhou
Xinwang Liu
AI4TS
302
34
0
28 Nov 2022
Unsupervised Graph Outlier Detection: Problem Revisit, New Insight, and Superior Method
IEEE International Conference on Data Engineering (ICDE), 2022
Yihong Huang
Liping Wang
Fan Zhang
Xuemin Lin
331
35
0
24 Oct 2022
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