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Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged
  Approach

Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach

Knowledge Discovery and Data Mining (KDD), 2019
26 November 2020
Minji Yoon
Bryan Hooi
Kijung Shin
Christos Faloutsos
ArXiv (abs)PDFHTML

Papers citing "Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach"

23 / 23 papers shown
TGM: a Modular and Efficient Library for Machine Learning on Temporal Graphs
TGM: a Modular and Efficient Library for Machine Learning on Temporal Graphs
Jacob Chmura
Shenyang Huang
Tran Gia Bao Ngo
Ali Parviz
Farimah Poursafaei
Jure Leskovec
Michael M. Bronstein
Guillaume Rabusseau
Matthias Fey
Reihaneh Rabbany
AI4CE
216
0
0
08 Oct 2025
Motif-Consistent Counterfactuals with Adversarial Refinement for
  Graph-Level Anomaly Detection
Motif-Consistent Counterfactuals with Adversarial Refinement for Graph-Level Anomaly Detection
Chunjing Xiao
Shikang Pang
Wenxin Tai
Yanlong Huang
Goce Trajcevski
Fan Zhou
330
8
0
18 Jul 2024
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey
Ocheme Anthony Ekle
William Eberle
AI4TS
387
49
0
31 May 2024
Exploring the Performance of Continuous-Time Dynamic Link Prediction
  Algorithms
Exploring the Performance of Continuous-Time Dynamic Link Prediction Algorithms
Raphaël Romero
Maarten Buyl
Tijl De Bie
Jefrey Lijffijt
242
0
0
27 May 2024
Anomaly Detection in Graph Structured Data: A Survey
Anomaly Detection in Graph Structured Data: A Survey
Prabin B. Lamichhane
William Eberle
358
12
0
10 May 2024
Graph Out-of-Distribution Generalization via Causal Intervention
Graph Out-of-Distribution Generalization via Causal Intervention
Qitian Wu
Fan Nie
Chenxiao Yang
Tianyi Bao
Junchi Yan
OODDOODAI4CE
349
55
0
18 Feb 2024
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and
  Future Directions
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future DirectionsIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Zemin Liu
Yuan N. Li
Nan-Fang Chen
Qian Wang
Bryan Hooi
Bin He
FaML
289
33
0
26 Aug 2023
Temporal Egonet Subgraph Transitions
Temporal Egonet Subgraph Transitions
Daniel Gonzalez Cedre
Sophia Abraham
Lucas Parzianello
Eric Tsai
166
0
0
26 Mar 2023
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
237
25
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 GraphsSoftwareX (SoftwareX), 2022
Simona Bernardi
José Merseguer
Raúl Javierre
AI4TS
174
2
0
17 Oct 2022
BOND: Benchmarking Unsupervised Outlier Node Detection on Static
  Attributed Graphs
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed GraphsNeural Information Processing Systems (NeurIPS), 2022
Kay Liu
Yingtong Dou
Yue Zhao
Xueying Ding
Xiyang Hu
...
Lichao Sun
Jundong Li
George H. Chen
Zhihao Jia
Philip S. Yu
OOD
429
142
0
21 Jun 2022
Raising the Bar in Graph-level Anomaly Detection
Raising the Bar in Graph-level Anomaly DetectionInternational Joint Conference on Artificial Intelligence (IJCAI), 2022
Chen Qiu
Matthias Kirchler
Stephan Mandt
Maja R. Rudolph
249
75
0
27 May 2022
Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation
Deep Graph-level Anomaly Detection by Glocal Knowledge DistillationWeb Search and Data Mining (WSDM), 2021
Rongrong Ma
Guansong Pang
Ling-Hao Chen
Anton Van Den Hengel
322
118
0
19 Dec 2021
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
A Comprehensive Survey on Graph Anomaly Detection with Deep LearningIEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Xiaoxiao Ma
Hongzhi Zhang
Shan Xue
Jian Yang
Chuan Zhou
Quan Z. Sheng
Hui Xiong
Leman Akoglu
GNNAI4TS
482
766
0
14 Jun 2021
Sketch-Based Anomaly Detection in Streaming Graphs
Sketch-Based Anomaly Detection in Streaming GraphsKnowledge Discovery and Data Mining (KDD), 2021
Siddharth Bhatia
Mohit Wadhwa
Kenji Kawaguchi
Neil Shah
Philip S. Yu
Bryan Hooi
395
33
0
08 Jun 2021
Topological Anomaly Detection in Dynamic Multilayer Blockchain Networks
Topological Anomaly Detection in Dynamic Multilayer Blockchain Networks
Dorcas Ofori-Boateng
I. Segovia-Dominguez
Murat Kantarcioglu
Cüneyt Gürcan Akçora
Yulia R. Gel
259
33
0
03 Jun 2021
Isconna: Streaming Anomaly Detection with Frequency and Patterns
Isconna: Streaming Anomaly Detection with Frequency and Patterns
R. Liu
Siddharth Bhatia
Bryan Hooi
160
4
0
04 Apr 2021
Autonomous Graph Mining Algorithm Search with Best Speed/Accuracy
  Trade-off
Autonomous Graph Mining Algorithm Search with Best Speed/Accuracy Trade-offIndustrial Conference on Data Mining (IDM), 2020
Minji Yoon
Théophile Gervet
Bryan Hooi
Christos Faloutsos
187
19
0
26 Nov 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
296
63
0
09 Nov 2020
Real-Time Anomaly Detection in Edge Streams
Real-Time Anomaly Detection in Edge StreamsACM Transactions on Knowledge Discovery from Data (TKDD), 2020
Siddharth Bhatia
R. Liu
Bryan Hooi
Minji Yoon
Kijung Shin
Christos Faloutsos
186
31
0
17 Sep 2020
ADSAGE: Anomaly Detection in Sequences of Attributed Graph Edges applied
  to insider threat detection at fine-grained level
ADSAGE: Anomaly Detection in Sequences of Attributed Graph Edges applied to insider threat detection at fine-grained level
Mathieu Garchery
Michael Granitzer
208
12
0
14 Jul 2020
Indirect Adversarial Attacks via Poisoning Neighbors for Graph
  Convolutional Networks
Indirect Adversarial Attacks via Poisoning Neighbors for Graph Convolutional Networks
Tsubasa Takahashi
GNNAAML
261
45
0
19 Feb 2020
MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams
MIDAS: Microcluster-Based Detector of Anomalies in Edge StreamsAAAI Conference on Artificial Intelligence (AAAI), 2019
Siddharth Bhatia
Bryan Hooi
Minji Yoon
Kijung Shin
Christos Faloutsos
427
115
0
11 Nov 2019
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