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Anomaly Detection on Attributed Networks via Contrastive Self-Supervised
  Learning

Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning

27 February 2021
Yixin Liu
Zhao Li
Shirui Pan
Chen Gong
Chuan Zhou
George Karypis
ArXivPDFHTML

Papers citing "Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning"

50 / 119 papers shown
Title
EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection
EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection
Jing Ren
Mingliang Hou
Zhixuan Liu
Xiaomei Bai
18
1
0
12 May 2025
Learning Multi-view Multi-class Anomaly Detection
Learning Multi-view Multi-class Anomaly Detection
Qianzi Yu
Yang Cao
Yu Kang
43
0
0
30 Apr 2025
A Pre-Training and Adaptive Fine-Tuning Framework for Graph Anomaly Detection
A Pre-Training and Adaptive Fine-Tuning Framework for Graph Anomaly Detection
Yunhui Liu
Jiashun Cheng
Jia Li
Fugee Tsung
Hongzhi Yin
Tieke He
21
0
0
19 Apr 2025
Deep Learning Advancements in Anomaly Detection: A Comprehensive Survey
Deep Learning Advancements in Anomaly Detection: A Comprehensive Survey
Haoqi Huang
Ping Wang
Jianhua Pei
Jiacheng Wang
Shahen Alexanian
Dusit Niyato
AAML
69
0
0
17 Mar 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
57
0
0
15 Mar 2025
G-OSR: A Comprehensive Benchmark for Graph Open-Set Recognition
Yicong Dong
Rundong He
Guangyao Chen
Wentao Zhang
Zhongyi Han
Jieming Shi
Yilong Yin
38
0
0
01 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
35
0
0
25 Jan 2025
DCOR: Anomaly Detection in Attributed Networks via Dual Contrastive Learning Reconstruction
DCOR: Anomaly Detection in Attributed Networks via Dual Contrastive Learning Reconstruction
Hossein Rafiee Zade
Hadi Zare
Mohsen Ghassemi Parsa
Hadi Davardoust
Meshkat Shariat Bagheri
68
1
0
21 Dec 2024
TGTOD: A Global Temporal Graph Transformer for Outlier Detection at
  Scale
TGTOD: A Global Temporal Graph Transformer for Outlier Detection at Scale
Kay Liu
Jiahao Ding
MohamadAli Torkamani
Philip S. Yu
71
1
0
01 Dec 2024
UniGAD: Unifying Multi-level Graph Anomaly Detection
UniGAD: Unifying Multi-level Graph Anomaly Detection
Yiqing Lin
Jianheng Tang
Chenyi Zi
Haihong Zhao
Yuan Yao
Jia Li
21
0
0
10 Nov 2024
High-Pass Graph Convolutional Network for Enhanced Anomaly Detection: A
  Novel Approach
High-Pass Graph Convolutional Network for Enhanced Anomaly Detection: A Novel Approach
Shelei Li
Yong Chai Tan
Tai Vincent
21
0
0
04 Nov 2024
ANOMIX: A Simple yet Effective Hard Negative Generation via Mixing for
  Graph Anomaly Detection
ANOMIX: A Simple yet Effective Hard Negative Generation via Mixing for Graph Anomaly Detection
Hwan Kim
Junghoon Kim
Sungsu Lim
16
0
0
27 Oct 2024
Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood
  Prompts
Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts
Chaoxi Niu
Hezhe Qiao
Changlu Chen
Ling-Hao Chen
Guansong Pang
32
0
0
18 Oct 2024
Towards Cross-domain Few-shot Graph Anomaly Detection
Towards Cross-domain Few-shot Graph Anomaly Detection
Jiazhen Chen
Sichao Fu
Zhibin Zhang
Zheng Ma
M. Feng
T. Wirjanto
Qinmu Peng
20
2
0
11 Oct 2024
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
18
5
0
16 Sep 2024
A Methodological Report on Anomaly Detection on Dynamic Knowledge Graphs
A Methodological Report on Anomaly Detection on Dynamic Knowledge Graphs
Xiaohua Lu
Leshanshui Yang
29
0
0
12 Aug 2024
Deep Learning-based Anomaly Detection and Log Analysis for Computer
  Networks
Deep Learning-based Anomaly Detection and Log Analysis for Computer Networks
Shuzhan Wang
Ruxue Jiang
Zhaoqi Wang
Yan Zhou
24
27
0
08 Jul 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
23
7
0
02 Jul 2024
Federated Graph Semantic and Structural Learning
Federated Graph Semantic and Structural Learning
Wenke Huang
Guancheng Wan
Mang Ye
Bo Du
FedML
21
42
0
27 Jun 2024
Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement
Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement
Wenjing Chang
Kay Liu
Philip S. Yu
Jianjun Yu
51
2
0
03 Jun 2024
Towards a Unified Framework of Clustering-based Anomaly Detection
Towards a Unified Framework of Clustering-based Anomaly Detection
Zeyu Fang
Ming Gu
Sheng Zhou
Jiawei Chen
Qiaoyu Tan
Haishuai Wang
Jiajun Bu
27
0
0
01 Jun 2024
Revisiting the Message Passing in Heterophilous Graph Neural Networks
Revisiting the Message Passing in Heterophilous Graph Neural Networks
Zhuonan Zheng
Yuan-Qi Bei
Sheng Zhou
Yao Ma
Ming Gu
Hongjia Xu
Chengyu Lai
Jiawei Chen
Jiajun Bu
47
0
0
28 May 2024
ARC: A Generalist Graph Anomaly Detector with In-Context Learning
ARC: A Generalist Graph Anomaly Detector with In-Context Learning
Yixin Liu
Shiyuan Li
Yu Zheng
Qingfeng Chen
Chengqi Zhang
Shirui Pan
22
9
0
27 May 2024
Safety in Graph Machine Learning: Threats and Safeguards
Safety in Graph Machine Learning: Threats and Safeguards
Song Wang
Yushun Dong
Binchi Zhang
Zihan Chen
Xingbo Fu
Yinhan He
Cong Shen
Chuxu Zhang
Nitesh V. Chawla
Jundong Li
30
7
0
17 May 2024
Anomaly Detection in Graph Structured Data: A Survey
Anomaly Detection in Graph Structured Data: A Survey
Prabin B. Lamichhane
William Eberle
22
3
0
10 May 2024
Critical Review for One-class Classification: recent advances and the
  reality behind them
Critical Review for One-class Classification: recent advances and the reality behind them
Toshitaka Hayashi
Dalibor Cimr
Hamido Fujita
R. Cimler
27
1
0
27 Apr 2024
Guarding Graph Neural Networks for Unsupervised Graph Anomaly Detection
Guarding Graph Neural Networks for Unsupervised Graph Anomaly Detection
Yuan-Qi Bei
Sheng Zhou
Jinke Shi
Yao Ma
Haishuai Wang
Jiajun Bu
18
1
0
25 Apr 2024
Multi-View Subgraph Neural Networks: Self-Supervised Learning with
  Scarce Labeled Data
Multi-View Subgraph Neural Networks: Self-Supervised Learning with Scarce Labeled Data
Zhenzhong Wang
Qingyuan Zeng
Wanyu Lin
Min Jiang
Kay Chen Tan
SSL
21
1
0
19 Apr 2024
Heterogeneous Contrastive Learning for Foundation Models and Beyond
Heterogeneous Contrastive Learning for Foundation Models and Beyond
Lecheng Zheng
Baoyu Jing
Zihao Li
Hanghang Tong
Jingrui He
VLM
18
18
0
30 Mar 2024
Beyond the Known: Novel Class Discovery for Open-world Graph Learning
Beyond the Known: Novel Class Discovery for Open-world Graph Learning
Yucheng Jin
Yun Xiong
Juncheng Fang
Xixi Wu
Dongxiao He
Xing Jia
Bingchen Zhao
Philip Yu
OffRL
24
0
0
29 Mar 2024
EG-ConMix: An Intrusion Detection Method based on Graph Contrastive
  Learning
EG-ConMix: An Intrusion Detection Method based on Graph Contrastive Learning
Lijin Wu
Shanshan Lei
Feilong Liao
Yuanjun Zheng
Yuxin Liu
Wentao Fu
Hao Song
Jiajun Zhou
21
1
0
24 Mar 2024
Generation is better than Modification: Combating High Class Homophily
  Variance in Graph Anomaly Detection
Generation is better than Modification: Combating High Class Homophily Variance in Graph Anomaly Detection
Rui Zhang
Dawei Cheng
Xin Liu
Jie Yang
Ouyang Yi
Xian Wu
Yefeng Zheng
27
2
0
15 Mar 2024
Spatial-temporal Memories Enhanced Graph Autoencoder for Anomaly
  Detection in Dynamic Graphs
Spatial-temporal Memories Enhanced Graph Autoencoder for Anomaly Detection in Dynamic Graphs
Jie Liu
Xuequn Shang
Xiaolin Han
Kai Zheng
Hongzhi Yin
33
0
0
14 Mar 2024
Label Informed Contrastive Pretraining for Node Importance Estimation on
  Knowledge Graphs
Label Informed Contrastive Pretraining for Node Importance Estimation on Knowledge Graphs
Tianyu Zhang
Chengbin Hou
Rui Jiang
Xuegong Zhang
Chenghu Zhou
Ke Tang
Hairong Lv
24
3
0
26 Feb 2024
Towards Fair Graph Anomaly Detection: Problem, New Datasets, and
  Evaluation
Towards Fair Graph Anomaly Detection: Problem, New Datasets, and Evaluation
Neng Kai Nigel Neo
Yeon-Chang Lee
Yiqiao Jin
Sang-Wook Kim
Srijan Kumar
36
4
0
25 Feb 2024
FGAD: Self-boosted Knowledge Distillation for An Effective Federated
  Graph Anomaly Detection Framework
FGAD: Self-boosted Knowledge Distillation for An Effective Federated Graph Anomaly Detection Framework
Jinyu Cai
Yunhe Zhang
Zhoumin Lu
Wenzhong Guo
See-kiong Ng
FedML
23
1
0
20 Feb 2024
SLADE: Detecting Dynamic Anomalies in Edge Streams without Labels via
  Self-Supervised Learning
SLADE: Detecting Dynamic Anomalies in Edge Streams without Labels via Self-Supervised Learning
Jongha Lee
Sunwoo Kim
Kijung Shin
AI4TS
30
0
0
19 Feb 2024
Generative Semi-supervised Graph Anomaly Detection
Generative Semi-supervised Graph Anomaly Detection
Hezhe Qiao
Qingsong Wen
Xiaoli Li
Ee-Peng Lim
Guansong Pang
21
7
0
19 Feb 2024
AOC-IDS: Autonomous Online Framework with Contrastive Learning for
  Intrusion Detection
AOC-IDS: Autonomous Online Framework with Contrastive Learning for Intrusion Detection
Xinchen Zhang
Running Zhao
Zhihan Jiang
Zhicong Sun
Yulong Ding
Edith C. H. Ngai
Shuang-Hua Yang
11
2
0
02 Feb 2024
Multitask Active Learning for Graph Anomaly Detection
Multitask Active Learning for Graph Anomaly Detection
Wenjing Chang
Kay Liu
Kaize Ding
Philip S. Yu
Jianjun Yu
31
8
0
24 Jan 2024
SCALA: Sparsification-based Contrastive Learning for Anomaly Detection
  on Attributed Networks
SCALA: Sparsification-based Contrastive Learning for Anomaly Detection on Attributed Networks
Enbo He
Yitong Hao
Yue Zhang
Guisheng Yin
Lina Yao
12
3
0
03 Jan 2024
Data Augmentation for Supervised Graph Outlier Detection with Latent
  Diffusion Models
Data Augmentation for Supervised Graph Outlier Detection with Latent Diffusion Models
Kay Liu
Hengrui Zhang
Ziqing Hu
Fangxin Wang
Philip S. Yu
13
1
0
29 Dec 2023
ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection
ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection
Junwei He
Qianqian Xu
Yangbangyan Jiang
Zitai Wang
Qingming Huang
13
20
0
22 Dec 2023
Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly
  Detection
Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection
Yuan-Qi Bei
Sheng Zhou
Qiaoyu Tan
Hao Xu
Hao Chen
Zhao Li
Jiajun Bu
16
5
0
09 Dec 2023
NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly
  Generation
NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly Generation
Hao Dong
Gaëtan Frusque
Yue Zhao
Eleni Chatzi
Olga Fink
AAML
10
5
0
20 Nov 2023
Few-shot Message-Enhanced Contrastive Learning for Graph Anomaly
  Detection
Few-shot Message-Enhanced Contrastive Learning for Graph Anomaly Detection
Fan Xu
Nan Wang
Xuezhi Wen
Meiqi Gao
Chaoqun Guo
Xibin Zhao
14
6
0
17 Nov 2023
Open-Set Graph Anomaly Detection via Normal Structure Regularisation
Open-Set Graph Anomaly Detection via Normal Structure Regularisation
Qizhou Wang
Guansong Pang
Mahsa Salehi
Wray L. Buntine
Christopher Leckie
20
2
0
12 Nov 2023
Prioritized Propagation in Graph Neural Networks
Prioritized Propagation in Graph Neural Networks
Yao Cheng
Minjie Chen
Xiang Li
Caihua Shan
Ming Gao
AI4CE
14
0
0
06 Nov 2023
Towards Self-Interpretable Graph-Level Anomaly Detection
Towards Self-Interpretable Graph-Level Anomaly Detection
Yixin Liu
Kaize Ding
Qinghua Lu
Fuyi Li
Leo Yu Zhang
Shirui Pan
16
47
0
25 Oct 2023
PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly
  Detection
PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection
Junjun Pan
Yixin Liu
Yizhen Zheng
Shirui Pan
16
18
0
18 Oct 2023
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