Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More This post is by Dr. Mukta Paliwal, senior data scientist at Persistent ...

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 ...

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 ...

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 ...

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 ...

Application development has a long history of quick evolution and transformation, perhaps faster than any other industry. The tools we use to create and host our applications are constantly changing.