Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation

Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation

19 December 2021

Anton Van Den Hengel

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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 Jiawei Gu Ziyue Qiao Zechao Li 116 0 0 21 May 2025
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 Yili Wang Yixin Liu Xu Shen Chenyu Li Kaize Ding Rui Miao Ying Wang Shirui Pan Xin Wang 109 11 0 21 Jun 2024
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 Minji Yoon Bryan Hooi Kijung Shin Christos Faloutsos 47 75 0 26 Nov 2020
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 Fan-Yun Sun Jordan Hoffmann Vikas Verma Jian Tang SSL 148 862 0 31 Jul 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 778 8,533 0 03 Jan 2019
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 Guansong Pang LongBing Cao Ling-Hao Chen Huan Liu 74 208 0 13 Jun 2018
Learning Deep Features for One-Class Classification Pramuditha Perera Vishal M. Patel 114 371 0 16 Jan 2018
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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