ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1911.04464
  4. Cited By
MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams
v1v2v3v4v5 (latest)

MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams

11 November 2019
Siddharth Bhatia
Bryan Hooi
Minji Yoon
Kijung Shin
Christos Faloutsos
ArXiv (abs)PDFHTML

Papers citing "MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams"

29 / 29 papers shown
Title
Low-Resource Neural Machine Translation Using Recurrent Neural Networks and Transfer Learning: A Case Study on English-to-Igbo
Low-Resource Neural Machine Translation Using Recurrent Neural Networks and Transfer Learning: A Case Study on English-to-Igbo
Ocheme Anthony Ekle
Biswarup Das
60
0
0
24 Apr 2025
Simple yet Effective Node Property Prediction on Edge Streams under Distribution Shifts
Simple yet Effective Node Property Prediction on Edge Streams under Distribution Shifts
Jongha Lee
Taehyung Kwon
Heechan Moon
Kijung Shin
AI4TS
101
0
0
01 Apr 2025
A Generalizable Anomaly Detection Method in Dynamic Graphs
A Generalizable Anomaly Detection Method in Dynamic Graphs
Xiao Yang
Xuejiao Zhao
Zhiqi Shen
153
1
0
21 Dec 2024
Learning-Based Link Anomaly Detection in Continuous-Time Dynamic Graphs
Learning-Based Link Anomaly Detection in Continuous-Time Dynamic Graphs
Tim Postuvan
Claas Grohnfeldt
Michele Russo
Giulio Lovisotto
72
2
0
28 May 2024
Anomaly Detection in Graph Structured Data: A Survey
Anomaly Detection in Graph Structured Data: A Survey
Prabin B. Lamichhane
William Eberle
79
3
0
10 May 2024
SLADE: Detecting Dynamic Anomalies in Edge Streams without Labels via
  Self-Supervised Learning
SLADE: Detecting Dynamic Anomalies in Edge Streams without Labels via Self-Supervised Learning
Jongha Lee
Sunwoo Kim
Kijung Shin
AI4TS
86
5
0
19 Feb 2024
TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly
  Detection Models
TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly Detection Models
Haotian Si
Changhua Pei
Hang Cui
Jingwen Yang
Yongqian Sun
...
Haiming Zhang
Jing Han
Dan Pei
Jianhui Li
Gaogang Xie
AI4TS
85
9
0
16 Feb 2024
EchoPFL: Asynchronous Personalized Federated Learning on Mobile Devices
  with On-Demand Staleness Control
EchoPFL: Asynchronous Personalized Federated Learning on Mobile Devices with On-Demand Staleness Control
Xiaocheng Li
Si-ren Liu
Zimu Zhou
Bin Guo
Yuan Xu
Zhiwen Yu
77
0
0
29 Jan 2024
Prov2vec: Learning Provenance Graph Representation for Unsupervised APT
  Detection
Prov2vec: Learning Provenance Graph Representation for Unsupervised APT Detection
Bibek Bhattarai
H. H. Huang
33
2
0
02 Oct 2023
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and
  Future Directions
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions
Zemin Liu
Yuan N. Li
Nan-Fang Chen
Qian Wang
Bryan Hooi
Bin He
FaML
83
15
0
26 Aug 2023
Spear and Shield: Adversarial Attacks and Defense Methods for
  Model-Based Link Prediction on Continuous-Time Dynamic Graphs
Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs
Dongjin Lee
Juho Lee
Kijung Shin
AAML
89
2
0
21 Aug 2023
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
130
7
0
31 Jan 2023
A Frequency-Structure Approach for Link Stream Analysis
A Frequency-Structure Approach for Link Stream Analysis
Esteban Bautista
Matthieu Latapy
74
2
0
07 Dec 2022
Anomaly Detection in Multiplex Dynamic Networks: from Blockchain
  Security to Brain Disease Prediction
Anomaly Detection in Multiplex Dynamic Networks: from Blockchain Security to Brain Disease Prediction
Ali Behrouz
Margo Seltzer
61
20
0
15 Nov 2022
tegdet: An extensible Python Library for Anomaly Detection using
  Time-Evolving Graphs
tegdet: An extensible Python Library for Anomaly Detection using Time-Evolving Graphs
Simona Bernardi
José Merseguer
Raúl Javierre
AI4TS
64
2
0
17 Oct 2022
Distributed Anomaly Detection in Edge Streams using Frequency based
  Sketch Datastructures
Distributed Anomaly Detection in Edge Streams using Frequency based Sketch Datastructures
Prateek Chanda
Malay Bhattacharya
51
1
0
27 Nov 2021
Anomalous Edge Detection in Edge Exchangeable Social Network Models
Anomalous Edge Detection in Edge Exchangeable Social Network Models
Rui Luo
Buddhika Nettasinghe
Vikram Krishnamurthy
185
18
0
27 Sep 2021
Unveiling the potential of Graph Neural Networks for robust Intrusion
  Detection
Unveiling the potential of Graph Neural Networks for robust Intrusion Detection
David Pujol-Perich
José Suárez-Varela
A. Cabellos-Aparicio
Pere Barlet-Ros
OODAAML
65
66
0
30 Jul 2021
GraphAnoGAN: Detecting Anomalous Snapshots from Attributed Graphs
GraphAnoGAN: Detecting Anomalous Snapshots from Attributed Graphs
Siddharth Bhatia
Yiwei Wang
Bryan Hooi
Tanmoy Chakraborty
100
5
0
29 Jun 2021
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
GNNAI4TS
118
571
0
14 Jun 2021
Sketch-Based Anomaly Detection in Streaming Graphs
Sketch-Based Anomaly Detection in Streaming Graphs
Siddharth Bhatia
Mohit Wadhwa
Kenji Kawaguchi
Neil Shah
Philip S. Yu
Bryan Hooi
75
18
0
08 Jun 2021
MemStream: Memory-Based Streaming Anomaly Detection
MemStream: Memory-Based Streaming Anomaly Detection
Siddharth Bhatia
Arjit Jain
Shivin Srivastava
Kenji Kawaguchi
Bryan Hooi
AI4TS
76
18
0
07 Jun 2021
Cybersecurity Anomaly Detection in Adversarial Environments
Cybersecurity Anomaly Detection in Adversarial Environments
David A. Bierbrauer
Alexander Chang
Will Kritzer
Nathaniel D. Bastian
AAML
31
11
0
14 May 2021
Isconna: Streaming Anomaly Detection with Frequency and Patterns
Isconna: Streaming Anomaly Detection with Frequency and Patterns
R. Liu
Siddharth Bhatia
Bryan Hooi
19
3
0
04 Apr 2021
AugSplicing: Synchronized Behavior Detection in Streaming Tensors
AugSplicing: Synchronized Behavior Detection in Streaming Tensors
Jiabao Zhang
Shenghua Liu
Wenting Hou
Siddharth Bhatia
Huawei Shen
Wenjian Yu
Xueqi Cheng
AI4TS
51
5
0
03 Dec 2020
F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams
F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams
Yen-Yu Chang
Pan Li
R. Sosič
M. Afifi
M. Schweighauser
J. Leskovec
48
53
0
09 Nov 2020
Real-Time Anomaly Detection in Edge Streams
Real-Time Anomaly Detection in Edge Streams
Siddharth Bhatia
R. Liu
Bryan Hooi
Minji Yoon
Kijung Shin
Christos Faloutsos
35
23
0
17 Sep 2020
Anomaly Detection by Recombining Gated Unsupervised Experts
Anomaly Detection by Recombining Gated Unsupervised Experts
Jan-Philipp Schulze
Philip Sperl
Konstantin Böttinger
87
1
0
31 Aug 2020
Mining Persistent Activity in Continually Evolving Networks
Mining Persistent Activity in Continually Evolving Networks
Caleb Belth
Xinyi Zheng
Danai Koutra
38
27
0
27 Jun 2020
1