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LUNAR: Unifying Local Outlier Detection Methods via Graph Neural
  Networks

LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks

10 December 2021
Adam Goodge
Bryan Hooi
See Kiong Ng
Wee Siong Ng
ArXiv (abs)PDFHTML

Papers citing "LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks"

15 / 15 papers shown
Title
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series
Ailin Deng
Bryan Hooi
AI4TS
71
879
0
13 Jun 2021
Interpretable, Multidimensional, Multimodal Anomaly Detection with
  Negative Sampling for Detection of Device Failure
Interpretable, Multidimensional, Multimodal Anomaly Detection with Negative Sampling for Detection of Device Failure
John Sipple
53
55
0
12 Jul 2020
Structural Temporal Graph Neural Networks for Anomaly Detection in
  Dynamic Graphs
Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs
Lei Cai
Zhengzhang Chen
Chen Luo
Jiaping Gui
Jingchao Ni
Ding Li
Haifeng Chen
53
126
0
15 May 2020
Deep Nearest Neighbor Anomaly Detection
Deep Nearest Neighbor Anomaly Detection
Liron Bergman
Niv Cohen
Yedid Hoshen
UQCV
87
160
0
24 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
378
18,866
0
13 Feb 2020
Graph Neural Networks for Social Recommendation
Graph Neural Networks for Social Recommendation
Wenqi Fan
Yao Ma
Qing Li
Yuan He
Yue Zhao
Jiliang Tang
Dawei Yin
253
1,901
0
19 Feb 2019
Anomaly Detection with Adversarial Dual Autoencoders
Anomaly Detection with Adversarial Dual Autoencoders
Ha Son Vu
D. Ueta
Kiyoshi Hashimoto
Kazuki Maeno
Sugiri Pranata
S. Shen
GAN
46
43
0
19 Feb 2019
PyOD: A Python Toolbox for Scalable Outlier Detection
PyOD: A Python Toolbox for Scalable Outlier Detection
Yue Zhao
Zain Nasrullah
Zheng Li
92
724
0
06 Jan 2019
Generative Adversarial Active Learning for Unsupervised Outlier
  Detection
Generative Adversarial Active Learning for Unsupervised Outlier Detection
Yezheng Liu
Zhe Li
Chong Zhou
Yuanchun Jiang
Jianshan Sun
Ming Wang
Xiangnan He
54
301
0
28 Sep 2018
Latent Space Autoregression for Novelty Detection
Latent Space Autoregression for Novelty Detection
Davide Abati
Angelo Porrello
Simone Calderara
Rita Cucchiara
113
435
0
04 Jul 2018
Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning
  Framework for Network-Scale Traffic Learning and Forecasting
Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting
Zhiyong Cui
Kristian C. Henrickson
Ruimin Ke
Ziyuan Pu
Yinhai Wang
GNNAI4TS
115
751
0
20 Feb 2018
Efficient GAN-Based Anomaly Detection
Efficient GAN-Based Anomaly Detection
Houssam Zenati
Chuan-Sheng Foo
Bruno Lecouat
Gaurav Manek
V. Chandrasekhar
45
563
0
17 Feb 2018
Neural Message Passing for Quantum Chemistry
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
598
7,488
0
04 Apr 2017
Unsupervised Anomaly Detection with Generative Adversarial Networks to
  Guide Marker Discovery
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery
T. Schlegl
Philipp Seeböck
S. Waldstein
U. Schmidt-Erfurth
Georg Langs
MedImGAN
108
2,233
0
17 Mar 2017
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,312
0
22 Dec 2014
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