Large language models can generate useful insights, but without a true reasoning layer, like a knowledge graph and ...

Security graphs are becoming indispensable for understanding system access and network activity and empowering security teams ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

Learn how to build knowledge graphs using Python and large language models (LLMs) ... You’ll use the Cypher query language to add, change, and find complex network data.

Integrating knowledge graphs is a promising solution with several key advantages. The advent of transformers has revolutionized text vectorization, achieving unprecedented precision. These embeddings ...

Integrating physics and AI: Novel graph neural network models enhance precipitation forecasting. Institute of Atmospheric Physics, Chinese Academy of Sciences. Journal Geophysical Research Letters DOI ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs through graph partitioning, has been developed by researchers at the ...

Stochastic block models (SBMs) serve as a fundamental probabilistic framework for generating and analysing network data with inherent community or modular structure. In these models, nodes are ...

Network graphs can show how your customers are segmented and the risk of churn for each segment. You can discover that what you thought were three or four main segments are actually 10.