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Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation

Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation

19 December 2021
Rongrong Ma
Guansong Pang
Ling-Hao Chen
Anton Van Den Hengel
ArXiv (abs)PDFHTML

Papers citing "Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation"

12 / 12 papers shown
Title
SpectralGap: Graph-Level Out-of-Distribution Detection via Laplacian Eigenvalue Gaps
SpectralGap: Graph-Level Out-of-Distribution Detection via Laplacian Eigenvalue Gaps
Jiawei Gu
Ziyue Qiao
Zechao Li
116
0
0
21 May 2025
Extreme Value Modelling of Feature Residuals for Anomaly Detection in Dynamic Graphs
Extreme Value Modelling of Feature Residuals for Anomaly Detection in Dynamic Graphs
Sevvandi Kandanaarachchi
Conrad Sanderson
Rob J. Hyndman
70
0
0
08 Oct 2024
Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark
Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark
Yili Wang
Yixin Liu
Xu Shen
Chenyu Li
Kaize Ding
Rui Miao
Ying Wang
Shirui Pan
Xin Wang
112
11
0
21 Jun 2024
On Using Classification Datasets to Evaluate Graph-Level Outlier
  Detection: Peculiar Observations and New Insights
On Using Classification Datasets to Evaluate Graph-Level Outlier Detection: Peculiar Observations and New Insights
Lingxiao Zhao
Leman Akoglu
78
67
0
23 Dec 2020
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
Minji Yoon
Bryan Hooi
Kijung Shin
Christos Faloutsos
47
75
0
26 Nov 2020
Uninformed Students: Student-Teacher Anomaly Detection with
  Discriminative Latent Embeddings
Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings
Paul Bergmann
Michael Fauser
David Sattlegger
C. Steger
77
664
0
06 Nov 2019
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation
  Learning via Mutual Information Maximization
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization
Fan-Yun Sun
Jordan Hoffmann
Vikas Verma
Jian Tang
SSL
148
862
0
31 Jul 2019
A Comprehensive Survey on Graph Neural Networks
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaMLGNNAI4TSAI4CE
778
8,533
0
03 Jan 2019
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
243
7,653
0
01 Oct 2018
Learning Representations of Ultrahigh-dimensional Data for Random
  Distance-based Outlier Detection
Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection
Guansong Pang
LongBing Cao
Ling-Hao Chen
Huan Liu
74
208
0
13 Jun 2018
Learning Deep Features for One-Class Classification
Learning Deep Features for One-Class Classification
Pramuditha Perera
Vishal M. Patel
114
371
0
16 Jan 2018
graph2vec: Learning Distributed Representations of Graphs
graph2vec: Learning Distributed Representations of Graphs
A. Narayanan
Mahinthan Chandramohan
R. Venkatesan
Lihui Chen
Yang Liu
Shantanu Jaiswal
GNN
71
742
0
17 Jul 2017
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