IEEE

Malware Detection and Classification Based on Graph Convolutional Networks and Function Call Graphs

Abstract: New types and variants of malware are constantly and rapidly being developed. Identifying malware effectively and quickly has become a primary goal of information security analysts. This ...
IEEE

Virtualized Network Function Forwarding Graph Placing in SDN and NFV-Enabled IoT Networks: A Graph Neural Network Assisted Deep Reinforcement Learning Method

Abstract: With an ambitious increase in the number of Internet of Things (IoT) terminals, IoT networks face a huge challenge which is providing diverse and complex network services with different ...
GitHub

DisoFLAG: Accurate prediction of protein intrinsic disorder and its functions using graph-based interaction protein language

This repository contains the source code used in our paper titled Yihe Pang, Bin Liu. DisoFLAG: Accurate prediction of protein intrinsic disorder and its functions using graph-based interaction ...