Graph Fairing Convolutional Networks for Anomaly Detection

20 October 2020

Papers citing "Graph Fairing Convolutional Networks for Anomaly Detection"

8 / 8 papers shown

Title
Deep Learning for Anomaly Detection: A Review Guansong Pang Chunhua Shen LongBing Cao Anton Van Den Hengel 96 910 0 06 Jul 2020
Simple and Deep Graph Convolutional Networks Ming Chen Zhewei Wei Zengfeng Huang Bolin Ding Yaliang Li GNN 91 1,473 0 04 Jul 2020
Graph Random Neural Network for Semi-Supervised Learning on Graphs Wenzheng Feng Jie Zhang Yuxiao Dong Yu Han Huanbo Luan Qian Xu Qiang Yang Evgeny Kharlamov Jie Tang 74 391 0 22 May 2020
A Survey on GANs for Anomaly Detection Federico Di Mattia P. Galeone M. D. Simoni Emanuele Ghelfi 63 124 0 27 Jun 2019
Deep Semi-Supervised Anomaly Detection Lukas Ruff Robert A. Vandermeulen Nico Görnitz Alexander Binder Emmanuel Müller K. Müller Marius Kloft UQCV 42 543 0 06 Jun 2019
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction Leland McInnes John Healy James Melville 118 9,312 0 09 Feb 2018
CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters Ron Levie Federico Monti Xavier Bresson M. Bronstein GNN 145 658 0 22 May 2017
Asynchrony begets Momentum, with an Application to Deep Learning Jeff Donahue Philipp Krahenbuhl Stefan Hadjis Christopher Ré 85 1,827 0 31 May 2016