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1911.04464
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MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams
AAAI Conference on Artificial Intelligence (AAAI), 2019
11 November 2019
Siddharth Bhatia
Bryan Hooi
Minji Yoon
Kijung Shin
Christos Faloutsos
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Papers citing
"MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams"
31 / 31 papers shown
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Graph Anomaly Detection in Time Series: A Survey
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A Frequency-Structure Approach for Link Stream Analysis
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Anomaly Detection in Multiplex Dynamic Networks: from Blockchain Security to Brain Disease Prediction
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SoftwareX (SoftwareX), 2022
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José Merseguer
Raúl Javierre
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Distributed Anomaly Detection in Edge Streams using Frequency based Sketch Datastructures
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Anomalous Edge Detection in Edge Exchangeable Social Network Models
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378
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Unveiling the potential of Graph Neural Networks for robust Intrusion Detection
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A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
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Sketch-Based Anomaly Detection in Streaming Graphs
Knowledge Discovery and Data Mining (KDD), 2021
Siddharth Bhatia
Mohit Wadhwa
Kenji Kawaguchi
Neil Shah
Philip S. Yu
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399
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MemStream: Memory-Based Streaming Anomaly Detection
The Web Conference (WWW), 2021
Siddharth Bhatia
Arjit Jain
Shivin Srivastava
Kenji Kawaguchi
Bryan Hooi
AI4TS
251
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Cybersecurity Anomaly Detection in Adversarial Environments
David A. Bierbrauer
Alexander Chang
Will Kritzer
Nathaniel D. Bastian
AAML
192
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Isconna: Streaming Anomaly Detection with Frequency and Patterns
R. Liu
Siddharth Bhatia
Bryan Hooi
167
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AugSplicing: Synchronized Behavior Detection in Streaming Tensors
AAAI Conference on Artificial Intelligence (AAAI), 2020
Jiabao Zhang
Shenghua Liu
Wenting Hou
Siddharth Bhatia
Huawei Shen
Wenjian Yu
Xueqi Cheng
AI4TS
358
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03 Dec 2020
F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams
Yen-Yu Chang
Pan Li
R. Sosič
M. Afifi
M. Schweighauser
J. Leskovec
304
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Real-Time Anomaly Detection in Edge Streams
ACM Transactions on Knowledge Discovery from Data (TKDD), 2020
Siddharth Bhatia
R. Liu
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Kijung Shin
Christos Faloutsos
186
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Anomaly Detection by Recombining Gated Unsupervised Experts
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Jan-Philipp Schulze
Philip Sperl
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368
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Mining Persistent Activity in Continually Evolving Networks
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117
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