Anomaly Detection in Large Labeled Multi-Graph Databases

7 October 2020

Papers citing "Anomaly Detection in Large Labeled Multi-Graph Databases"

7 / 7 papers shown

Title
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 GNN AI4TS 75 552 0 14 Jun 2021
On Using Classification Datasets to Evaluate Graph-Level Outlier Detection: Peculiar Observations and New Insights Lingxiao Zhao Leman Akoglu 61 67 0 23 Dec 2020
Heterogeneous Network Motifs Ryan A. Rossi Nesreen Ahmed Aldo G. Carranza David Arbour Anup B. Rao Sungchul Kim Eunyee Koh 41 23 0 28 Jan 2019
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 222 7,623 0 01 Oct 2018
Higher-order clustering in networks Hao Yin Austin R. Benson J. Leskovec 35 103 0 12 Apr 2017
node2vec: Scalable Feature Learning for Networks Aditya Grover J. Leskovec 183 10,856 0 03 Jul 2016
Learning Convolutional Neural Networks for Graphs Mathias Niepert Mohamed Ahmed Konstantin Kutzkov GNN SSL 122 2,151 0 17 May 2016