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Few-shot Message-Enhanced Contrastive Learning for Graph Anomaly
  Detection

Few-shot Message-Enhanced Contrastive Learning for Graph Anomaly Detection

17 November 2023
Fan Xu
Nan Wang
Xuezhi Wen
Meiqi Gao
Chaoqun Guo
Xibin Zhao
ArXivPDFHTML

Papers citing "Few-shot Message-Enhanced Contrastive Learning for Graph Anomaly Detection"

6 / 6 papers shown
Title
Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive
  Alignment
Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment
Qizhou Wang
Guansong Pang
Mahsa Salehi
Wray Buntine
C. Leckie
51
29
0
02 Dec 2022
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
Xiaoxiao Ma
Hongzhi Zhang
Shan Xue
Jian Yang
Chuan Zhou
Quan Z. Sheng
Hui Xiong
Leman Akoglu
GNN
AI4TS
68
549
0
14 Jun 2021
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised
  Learning
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning
Yixin Liu
Zhao Li
Shirui Pan
Chen Gong
Chuan Zhou
George Karypis
77
297
0
27 Feb 2021
Beyond Low-frequency Information in Graph Convolutional Networks
Beyond Low-frequency Information in Graph Convolutional Networks
Deyu Bo
Xiao Wang
C. Shi
Huawei Shen
GNN
144
573
0
04 Jan 2021
Graph Contrastive Learning with Adaptive Augmentation
Graph Contrastive Learning with Adaptive Augmentation
Yanqiao Zhu
Yichen Xu
Feng Yu
Qiang Liu
Shu Wu
Liang Wang
52
1,088
0
27 Oct 2020
Data Augmentation for Graph Neural Networks
Data Augmentation for Graph Neural Networks
Tong Zhao
Yozen Liu
Leonardo Neves
Oliver J. Woodford
Meng Jiang
Neil Shah
GNN
78
409
0
11 Jun 2020
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