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2205.04816
Cited By
Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks
International Joint Conference on Artificial Intelligence (IJCAI), 2022
10 May 2022
Jiaqiang Zhang
Senzhang Wang
Songcan Chen
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Papers citing
"Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks"
22 / 22 papers shown
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
154
1
0
01 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
107
1
0
01 Aug 2025
Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective
AAAI Conference on Artificial Intelligence (AAAI), 2025
Yiming Xu
Zhen Peng
Bin Shi
Xu Hua
B. Dong
Song Wang
Chen Chen
249
5
0
19 Jul 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
318
0
0
23 May 2025
Structural-Temporal Coupling Anomaly Detection with Dynamic Graph Transformer
Chang Zong
Yueting Zhuang
Jian Shao
Weiming Lu
325
1
0
13 May 2025
Semi-supervised Anomaly Detection with Extremely Limited Labels in Dynamic Graphs
Jiazhen Chen
Sichao Fu
Zheng Ma
M. Feng
T. Wirjanto
Qinmu Peng
209
3
0
25 Jan 2025
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
224
5
0
11 Oct 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
329
30
0
16 Sep 2024
Counterfactual Data Augmentation with Denoising Diffusion for Graph Anomaly Detection
Chunjing Xiao
Shikang Pang
Xovee Xu
Xuan Li
Goce Trajcevski
Fan Zhou
DiffM
268
13
0
02 Jul 2024
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 Chawla
Wenlin Yao
280
11
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
288
3
0
25 Apr 2024
SCALA: Sparsification-based Contrastive Learning for Anomaly Detection on Attributed Networks
Enbo He
Yitong Hao
Yue Zhang
Guisheng Yin
Lina Yao
185
4
0
03 Jan 2024
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
225
19
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
314
29
0
18 Oct 2023
Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning
ACM Multimedia (ACM MM), 2023
Jingcan Duan
Pei Zhang
Siwei Wang
Jingtao Hu
Hu Jin
Jiaxin Zhang
Haifang Zhou
Xinwang Liu
266
23
0
12 Sep 2023
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Zemin Liu
Yuan N. Li
Nan-Fang Chen
Qian Wang
Bryan Hooi
Bin He
FaML
255
28
0
26 Aug 2023
Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection
Neural Information Processing Systems (NeurIPS), 2023
Hezhe Qiao
Guansong Pang
477
43
0
29 May 2023
Decoupling anomaly discrimination and representation learning: self-supervised learning for anomaly detection on attributed graph
Data Science and Engineering (DSE), 2023
Lele Fu
Chuan Chen
Bowen Deng
Yujing Lai
Hao Lin
Zibin Zheng
Jing Bian
195
6
0
11 Apr 2023
Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View
AAAI Conference on Artificial Intelligence (AAAI), 2022
Jingcan Duan
Siwei Wang
Pei Zhang
En Zhu
Jingtao Hu
Huan Jin
Yue Liu
Zhibin Dong
275
137
0
01 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
224
32
0
28 Nov 2022
AHEAD: A Triple Attention Based Heterogeneous Graph Anomaly Detection Approach
Shujie Yang
Binchi Zhang
Shangbin Feng
Zhaoxuan Tan
Qinghua Zheng
Jun Zhou
Minnan Luo
187
6
0
17 Aug 2022
Contrastive Multi-View Representation Learning on Graphs
International Conference on Machine Learning (ICML), 2020
Kaveh Hassani
Amir Hosein Khas Ahmadi
SSL
717
1,564
0
10 Jun 2020
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