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2103.00113
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Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
27 February 2021
Yixin Liu
Zhao Li
Shirui Pan
Chen Gong
Chuan Zhou
George Karypis
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Papers citing
"Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning"
50 / 137 papers shown
LLM-Powered Text-Attributed Graph Anomaly Detection via Retrieval-Augmented Reasoning
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Ruizhi Qian
Zhengtao Yao
Ziyi Liu
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...
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Daniel Barcklow
Senthil Kumar
Jieyu Zhao
Yue Zhao
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Correcting False Alarms from Unseen: Adapting Graph Anomaly Detectors at Test Time
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Yixin Liu
Chuan Zhou
Fei Xiong
Alan Wee-Chung Liew
Shirui Pan
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Explainable Heterogeneous Anomaly Detection in Financial Networks via Adaptive Expert Routing
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Rui Fan
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20 Oct 2025
OCR-APT: Reconstructing APT Stories from Audit Logs using Subgraph Anomaly Detection and LLMs
Ahmed Aly
Essam Mansour
Amr Youssef
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Combining Euclidean and Hyperbolic Representations for Node-level Anomaly Detection
Simone Mungari
Ettore Ritacco
Pietro Sabatino
156
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13 Oct 2025
Human Texts Are Outliers: Detecting LLM-generated Texts via Out-of-distribution Detection
Cong Zeng
Shengkun Tang
Yuanzhou Chen
Zhiqiang Shen
Wenchao Yu
Xujiang Zhao
H. Chen
Wei Cheng
zhiqiang xu
DeLMO
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287
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07 Oct 2025
Normality Calibration in Semi-supervised Graph Anomaly Detection
Guolei Zeng
Hezhe Qiao
Guoguo Ai
Jinsong Guo
Guansong Pang
176
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02 Oct 2025
A Survey of Generalization of Graph Anomaly Detection: From Transfer Learning to Foundation Models
Junjun Pan
Y. Zheng
Yue Tan
Yixin Liu
160
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08 Sep 2025
Adaptive Anomaly Detection in Evolving Network Environments
Ehssan Mousavipour
Andrey Dimanchev
Majid Ghaderi
165
0
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20 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
263
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0
14 Aug 2025
Enhancing Fairness in Autoencoders for Node-Level Graph Anomaly Detection
Shouju Wang
Yuchen Song
Shengén Li
Dongmian Zou
172
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14 Aug 2025
BlindGuard: Safeguarding LLM-based Multi-Agent Systems under Unknown Attacks
Rui Miao
Yixin Liu
Yili Wang
Xu Shen
Yue Tan
Yiwei Dai
Shirui Pan
Xin Wang
AAML
322
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0
11 Aug 2025
Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection
Yiming Xu
Jiarun Chen
Zhen Peng
Zihan Chen
Qika Lin
Lan Ma
Bin Shi
Bo Dong
181
1
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01 Aug 2025
Text-Attributed Graph Anomaly Detection via Multi-Scale Cross- and Uni-Modal Contrastive Learning
Yiming Xu
Xu Hua
Zhen Peng
Bin Shi
Jiarun Chen
Xingbo Fu
Song Wang
Bo Dong
230
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01 Aug 2025
Semi-supervised Graph Anomaly Detection via Robust Homophily Learning
Guoguo Ai
Hezhe Qiao
Hui Yan
Guansong Pang
411
1
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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
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
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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
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12 May 2025
Learning Multi-view Multi-class Anomaly Detection
Qianzi Yu
Yang Cao
Yu Kang
257
1
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30 Apr 2025
Towards Anomaly-Aware Pre-Training and Fine-Tuning for Graph Anomaly Detection
Yunhui Liu
Jiashun Cheng
Yiqing Lin
Qizhuo Xie
Jia Li
Fugee Tsung
Hongzhi Yin
Tao Zheng
Jianhua Zhao
Tieke He
448
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19 Apr 2025
Deep Learning Advancements in Anomaly Detection: A Comprehensive Survey
IEEE Internet of Things Journal (IEEE IoT J.), 2025
Haoqi Huang
Ping Wang
Jianhua Pei
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Shahen Alexanian
Dusit Niyato
AAML
399
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17 Mar 2025
Unsupervised Graph Anomaly Detection via Multi-Hypersphere Heterophilic Graph Learning
Hang Ni
Jindong Han
Nengjun Zhu
Hao Liu
235
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G-OSR: A Comprehensive Benchmark for Graph Open-Set Recognition
Yicong Dong
Rundong He
Guangyao Chen
Wentao Zhang
Zhongyi Han
Jieming Shi
Yilong Yin
347
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01 Mar 2025
Semi-supervised Anomaly Detection with Extremely Limited Labels in Dynamic Graphs
Jiazhen Chen
Sichao Fu
Zheng Ma
M. Feng
T. Wirjanto
Qinmu Peng
287
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DCOR: Anomaly Detection in Attributed Networks via Dual Contrastive Learning Reconstruction
Hossein Rafiee Zade
Hadi Zare
Mohsen Ghassemi Parsa
Hadi Davardoust
Meshkat Shariat Bagheri
377
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21 Dec 2024
TGTOD: A Global Temporal Graph Transformer for Outlier Detection at Scale
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2024
Kay Liu
Jiahao Ding
MohamadAli Torkamani
Philip S. Yu
346
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01 Dec 2024
UniGAD: Unifying Multi-level Graph Anomaly Detection
Neural Information Processing Systems (NeurIPS), 2024
Yiqing Lin
Jianheng Tang
Chenyi Zi
Haihong Zhao
Yuan Yao
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280
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High-Pass Graph Convolutional Network for Enhanced Anomaly Detection: A Novel Approach
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209
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Toward Reasoning on the Boundary: A Mixup-based Approach for Graph Anomaly Detection
Hwan Kim
Junghoon Kim
Sungsu Lim
196
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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
365
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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
317
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11 Oct 2024
Deep Graph Anomaly Detection: A Survey and New Perspectives
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Hezhe Qiao
Hanghang Tong
Bo An
Irwin King
Charu Aggarwal
Guansong Pang
389
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16 Sep 2024
A Methodological Report on Anomaly Detection on Dynamic Knowledge Graphs
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Leshanshui Yang
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Deep Learning-based Anomaly Detection and Log Analysis for Computer Networks
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Ruxue Jiang
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Yan Zhou
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Counterfactual Data Augmentation with Denoising Diffusion for Graph Anomaly Detection
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Shikang Pang
Xovee Xu
Xuan Li
Goce Trajcevski
Fan Zhou
DiffM
322
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02 Jul 2024
Federated Graph Semantic and Structural Learning
Wenke Huang
Guancheng Wan
Mang Ye
Bo Du
FedML
463
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27 Jun 2024
Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement
Wenjing Chang
Kay Liu
Philip S. Yu
Jianjun Yu
545
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03 Jun 2024
Towards a Unified Framework of Clustering-based Anomaly Detection
Zeyu Fang
Ming Gu
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Jiawei Chen
Qiaoyu Tan
Haishuai Wang
Jiajun Bu
258
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01 Jun 2024
Revisiting the Message Passing in Heterophilous Graph Neural Networks
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Yao Ma
Ming Gu
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Chengyu Lai
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ARC: A Generalist Graph Anomaly Detector with In-Context Learning
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Safety in Graph Machine Learning: Threats and Safeguards
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Yushun Dong
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Xingbo Fu
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Cong Shen
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Nitesh Chawla
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Anomaly Detection in Graph Structured Data: A Survey
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Critical Review for One-class Classification: recent advances and the reality behind them
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Guarding Graph Neural Networks for Unsupervised Graph Anomaly Detection
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