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 ...

Graphs are everywhere around us. Your social network is a graph of people and relations. So is your family. The roads you take to go from point A to point B constitute a graph.

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 ...

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.