Cayley graphs, constructed from the algebraic structure of groups, provide a natural framework for exploring complex combinatorial properties. In these graphs, vertices represent group elements and ...

Knowledge graphs are one of the most important technologies of the 2020s. Gartner predicted that the applications of graph processing and graph databases will grow at 100% annually over the next few ...

Download KgBase’s Vision Paper to learn how to build the ultimate enterprise knowledge system: a federated mesh of independently maintained no-code knowledge graphs. KgBase - Create Knowledge Graphs ...

Science and data are interwoven in many ways. The scientific method has lent a good part of its overall approach and practices to data-driven analytics, software development, and data science. Now ...

Suppose you are trying to transmit a message. Convert each character into bits, and each bit into a signal. Then send it, over copper or fiber or air. Try as you might to be as careful as possible, ...

CodeRabbit combines code graph analysis and the power of large language models to identify issues in pull requests and suggest improvements, or even generate those improvements in a new branch. Code ...

No-code Graph RAG employs autonomous agents to integrate enterprise data and domain knowledge with LLMs for context-rich, explainable conversations By leveraging knowledge graphs for retrieval ...

Markdown is a document structure that generates reports containing computing code, graphs and associated text in a user-friendly interface. Business analysts, budding data scientists and marketers ...