Flurry: a Fast Framework for Reproducible Multi-layered Provenance Graph Representation Learning

5 March 2022

Papers citing "Flurry: a Fast Framework for Reproducible Multi-layered Provenance Graph Representation Learning"

9 / 9 papers shown

Title
SIGL: Securing Software Installations Through Deep Graph Learning Xueyuan Han Xiao Yu Thomas Pasquier Ding Li J. Rhee James W. Mickens Margo Seltzer Haifeng Chen 63 49 0 26 Aug 2020
Xanthus: Push-button Orchestration of Host Provenance Data Collection Xueyuan Han James W. Mickens Ashish Gehani Margo Seltzer Thomas Pasquier 20 7 0 10 May 2020
UNICORN: Runtime Provenance-Based Detector for Advanced Persistent Threats Xueyuan Han Thomas Pasquier Adam Bates James W. Mickens Margo Seltzer 82 280 0 06 Jan 2020
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Minjie Wang Da Zheng Zihao Ye Quan Gan Mufei Li ... Jiaqi Zhao Haotong Zhang Alex Smola Jinyang Li Zheng Zhang AI4CE GNN 286 758 0 03 Sep 2019
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 243 7,681 0 01 Oct 2018
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 509 15,300 0 07 Jun 2017
Modeling Relational Data with Graph Convolutional Networks Michael Schlichtkrull Thomas Kipf Peter Bloem Rianne van den Berg Ivan Titov Max Welling GNN 191 4,828 0 17 Mar 2017
node2vec: Scalable Feature Learning for Networks Aditya Grover J. Leskovec 191 10,903 0 03 Jul 2016
DeepWalk: Online Learning of Social Representations Bryan Perozzi Rami Al-Rfou Steven Skiena HAI 257 9,800 0 26 Mar 2014