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Graph Anomaly Detection with Graph Neural Networks: Current Status and
  Challenges

Graph Anomaly Detection with Graph Neural Networks: Current Status and Challenges

29 September 2022
Hwan Kim
Byung Suk Lee
Won-Yong Shin
Sungsu Lim
    GNN
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Papers citing "Graph Anomaly Detection with Graph Neural Networks: Current Status and Challenges"

3 / 3 papers shown
Title
Mathematical Modeling of Protein Structures: A Cohomology-Based Approach to the Flagellar Motor
Mathematical Modeling of Protein Structures: A Cohomology-Based Approach to the Flagellar Motor
Zakaria Lamine
Abdelatif Hafid
Mohamed Rahouti
12
0
0
08 Apr 2025
Graph Anomaly Detection in Time Series: A Survey
Graph Anomaly Detection in Time Series: A Survey
Thi Kieu Khanh Ho
Ali Karami
Narges Armanfard
AI4TS
24
5
0
31 Jan 2023
Graph Geometry Interaction Learning
Graph Geometry Interaction Learning
Shichao Zhu
Shirui Pan
Chuan Zhou
Jia Wu
Yanan Cao
Bin Wang
66
90
0
23 Oct 2020
1