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 ...
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 ...
Investopedia

Supply: Definition, Calculation, and Factors Impacting It

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
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 ...
PNAS

Mammalian cell proliferation requires noncatalytic functions of O-GlcNAc transferase

This contribution is part of the special series of Inaugural Articles by members of the National Academy of Sciences elected in 2020. Mammalian cells contain only one glycosyltransferase, OGT, that ...
GitHub

GraphTranslator: Aligning Graph Model to Large Language Model for Open-ended Tasks

Pre-training Graph Model Phase. In the pre-training phase, we employ link prediction as the self-supervised task for pre-training the graph model. Producer Phase. In the Producer phase, we employ LLM ...