As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

Aiomics announces the integration of a Hybrid GraphRAG engine into its clinical platform. By anchoring artificial ...

ChatGPT-style AI gives itself away by increasing in consistency, while human writing remains erratic throughout. The limited context window of most consumer-facing Large Language Models (LLMs) is one ...

Recent research challenges the popular idea that general intelligence relies on the brain’s overall efficiency or ...

Skoove, in collaboration with DataPulse Research, reports that January is often a poor time for setting resolutions, as ...

This repository contains the official PyTorch implementation and the UMC4/12 Dataset for the paper: [UrbanGraph: Physics-Informed Spatio-Temporal Dynamic Heterogeneous Graphs for Urban Microclimate ...

Researchers at Shanghai Jiao Tong University have made a groundbreaking discovery in the field of Temporal Knowledge Graphs (TKGs), challenging the ...

Researchers at Shanghai Jiao Tong University have made a groundbreaking discovery in the field of Temporal Knowledge Graphs ...

In this article, the authors ask, to what extent are democratic integrity and resilience facets of the same coin, ...

Discover what context graphs are, why they're revolutionizing AI systems, and who's building this trillion-dollar technology that transforms how machines understand relationships and reasoning.