Mal2GCN: A Robust Malware Detection Approach Using Deep Graph Convolutional Networks With Non-Negative Weights

27 August 2021

Papers citing "Mal2GCN: A Robust Malware Detection Approach Using Deep Graph Convolutional Networks With Non-Negative Weights"

3 / 3 papers shown

Title
A Survey on Malware Detection with Graph Representation Learning Tristan Bilot Nour El Madhoun Khaldoun Al Agha Anis Zouaoui AAML 13 20 0 28 Mar 2023
Provably Tightest Linear Approximation for Robustness Verification of Sigmoid-like Neural Networks Zhaodi Zhang Yiting Wu Siwen Liu Jing Liu Min Zhang AAML 23 11 0 21 Aug 2022
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Minjie Wang Da Zheng Zihao Ye Quan Gan Mufei Li ... J. Zhao Haotong Zhang Alex Smola Jinyang Li Zheng-Wei Zhang AI4CE GNN 194 745 0 03 Sep 2019