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From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale
  Contrastive Learning Approach

From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale Contrastive Learning Approach

11 February 2022
Yu Zheng
Ming Jin
Yixin Liu
Lianhua Chi
Khoa T. Phan
Shirui Pan
Yi-Ping Phoebe Chen
ArXiv (abs)PDFHTML

Papers citing "From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale Contrastive Learning Approach"

9 / 9 papers shown
Flex-GAD : Flexible Graph Anomaly Detection
Flex-GAD : Flexible Graph Anomaly Detection
Apu Chakraborty
Anshul Kumar
Gagan Raj Gupta
92
0
0
29 Oct 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
195
1
0
15 Mar 2025
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
224
5
0
11 Oct 2024
Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark
Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark
Yili Wang
Yixin Liu
Xu Shen
Chenyu Li
Kaize Ding
Rui Miao
Ying Wang
Shirui Pan
Xin Wang
341
15
0
21 Jun 2024
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
194
13
0
17 Nov 2023
Correlation-aware Spatial-Temporal Graph Learning for Multivariate
  Time-series Anomaly Detection
Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly DetectionIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Yu Zheng
Huan Yee Koh
Ming Jin
Lianhua Chi
Khoa T. Phan
Shirui Pan
Yi-Ping Phoebe Chen
Wei Xiang
AI4TS
271
59
0
17 Jul 2023
Truncated Affinity Maximization: One-class Homophily Modeling for Graph
  Anomaly Detection
Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly DetectionNeural Information Processing Systems (NeurIPS), 2023
Hezhe Qiao
Guansong Pang
478
43
0
29 May 2023
Projective Ranking-based GNN Evasion Attacks
Projective Ranking-based GNN Evasion AttacksIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
He Zhang
Lizhen Qu
Chuan Zhou
Shirui Pan
AAML
279
30
0
25 Feb 2022
Adaptive Multi-layer Contrastive Graph Neural Networks
Adaptive Multi-layer Contrastive Graph Neural Networks
S. Shi
Pengfei Xie
Xu Luo
Kai Qiao
Linyuan Wang
Jian Chen
B. Yan
OOD
139
7
0
29 Sep 2021
1