Abstract: This proposed work introduces a comprehensive accident detection and risk assessment system that coordinate the strengths of Convolutional Neural Networks (CNNs) and a graph-based analytical ...

An explosion of user-generated data from online social networks motivates analysis to extract deep insights from this data’s graph at scale, even of social, temporal, spatial, and topical connections.

A random effects model was used to extract the effect sizes with 95% CIs. Study heterogeneity was evaluated using forest plots and P values in the Cochran Q test. Moderator analysis was performed to ...

A modern, interactive web application for building and visualizing knowledge graphs using Microsoft's GraphRAG framework. Transform your documents into an explorable 3D knowledge graph with advanced ...

Abstract: The volume of graph data is increasing substantially, exerting significant pressure on graph analytics, especially when computing resources are limited. To address this challenge, we ...