Cyclomatic complexity is a quantitative measure of the linearly independent paths in source code that can help you understand the complexity of your program and improve code coverage There are various ...

Graph processing at hyperscale has historically been a challenge because of the sheer complexity of algorithms and graph workflows. Alibaba has been tackling this issue via a project called GraphScope ...

Graph Neural Networks (GNNs) and GraphRAG don’t “reason”—they navigate complex, open-world financial graphs with traceable, multi-hop evidence. Here’s why BFSI leaders should embrace graph-native AI ...

Banks are exploring graph technology, a method of data storage that shows the different relationships between data points, for a number of use cases, including fraud detection, anti-money laundering, ...

REDWOOD CITY, Calif., Sept. 30, 2020 (GLOBE NEWSWIRE) -- TigerGraph, the only scalable graph database for the enterprise, today announced free licenses for TigerGraph Enterprise, an offering that will ...

REDWOOD CITY, Calif., March 16, 2020 – TigerGraph, a scalable graph database for the enterprise, unveiled TigerGraph 3.0, which delivers the power of scalable graph database and analytics to everyone ...

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 ...