ThreatModeler today announced the general availability of ThreatModeler ® Nexus ™, an agentic threat modeling platform that brings governed, architecture-aware security into the way modern software is ...

The resulting knowledge graph provides a robust framework for understanding sepsis, supporting clinical decision-making, and facilitating further research. The success of this approach underscores the ...

Over 70 million people in the U.S. are impacted by hearing loss, and age-related hearing loss is the second most common ...

Abstract: At present, the course recommendation model of graph collaborative filtering mainly uses bipartite graph modeling to obtain user-course cooperative relationship. However, the bipartite graph ...

This repository contains the implementation of UniGraph, a unified cross-domain foundation model for text-attributed graphs. UniGraph combines the power of language models and graph neural networks to ...

Abstract: Spatiotemporal graph modeling aims to model temporally varying and spatially correlated information sequences in the traffic network, serving as a significant approach to capture the complex ...

General-purpose models struggle with messy, industry-specific data. A three-layer AI stack from Trunk Tools cut document review cycles from 60 days to 10.

Official Implementation of "ChatRule: Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning". Logical rules are essential for uncovering the logical connections between ...

Researchers have developed AdapGNN, a novel model-agnostic framework that addresses the oversmoothing problem in graph neural ...

Powers cloud applications that need to manage complex and highly connected data Graph-specific use cases include master data management, recommendation & personalization, security & ...