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 theory has long provided a robust mathematical framework for investigating networks, relations and connectivity in both abstract and applied settings. Recent advances have markedly refined our ...

Debate and discussion around data management, analytics, BI and information governance. This is a guest blogpost by Neo4j’s Jim Webber, who says graphs are a way of managing complexity that is all ...

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, ...

Steampipe and SQL allow us to see relationships among the data we extract from APIs. Here’s how to graph the connections between tooters and boosters on Mastodon. The new release of Steampipe is all ...

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 ...