PhoGAD: Graph-based Anomaly Behavior Detection with Persistent Homology Optimization

19 January 2024

Papers citing "PhoGAD: Graph-based Anomaly Behavior Detection with Persistent Homology Optimization"

7 / 7 papers shown

Title
HP-GMN: Graph Memory Networks for Heterophilous Graphs Junjie Xu Enyan Dai Xiang Zhang Suhang Wang 79 18 0 15 Oct 2022
Anomal-E: A Self-Supervised Network Intrusion Detection System based on Graph Neural Networks Evan Caville Wai Weng Lo S. Layeghy Marius Portmann 46 92 0 14 Jul 2022
Graph Structure Learning with Variational Information Bottleneck Qingyun Sun Jianxin Li Hao Peng Hongzhi Zhang Xingcheng Fu Cheng Ji Philip S. Yu 77 162 0 16 Dec 2021
Unveiling the potential of Graph Neural Networks for robust Intrusion Detection David Pujol-Perich José Suárez-Varela A. Cabellos-Aparicio Pere Barlet-Ros OOD AAML 52 63 0 30 Jul 2021
AnomalyDAE: Dual autoencoder for anomaly detection on attributed networks Haoyi Fan Fengbin Zhang Zuoyong Li 90 160 0 10 Feb 2020
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 514 15,319 0 07 Jun 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 662 29,156 0 09 Sep 2016