Amazon's new cloud infrastructure, known as resilient network graph (RNG), claims to be faster, cheaper, and less ...

This repository contains the official implementation of our ICML 2024 paper, VisionGraph: Leveraging Large Multimodal Models for Graph Theory Problems in Visual Context. VisionGraph, is a benchmark ...

Homework policy: I anticipate assigning three to five problem sets. Collaboration policy: While you should first think about the problems on your own, you are encouraged to discuss the problems with ...

Graph theory is an integral component of algorithm design that underlies sparse matrices, relational databases, and networks. Improving the performance of graph algorithms has direct implications to ...

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jctc.4c00190. GPU utilization curve of models with the different number ...

The dual-channel graph convolutional neural networks based on hybrid features jointly model the different features of networks, so that the features can learn each other and improve the performance of ...

Abstract: Postulating the behavior of attackers is important in the design of cybersecurity protection measures. Attack graph is a technique employed for this purpose, which aids in identifying and ...

Abstract: A method of applying network flow analyses during real time power system operation, to provide better network connectivity visualization, is developed and presented. Graph theory network ...