Clear guide to critical thinking: simple steps, quick examples, and a checklist you can use on decisions daily now ...

PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer ...

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 ...

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: Deep neural networks for graphs (DNNGs) represent an emerging field that studies how the deep learning method can be generalized to graph-structured data. Since graphs are a powerful and ...

ABSTRACT: This research addresses a topic of widespread and current relevance, reflected daily in commerce, especially in the clothing industry, by addressing brand humanization and customer loyalty ...