Recently, I had an enlightening conversation with Gemini Data about their approach to creating what I’m calling “semantic connectors.” These connectors will help immensely in making graph ETL work ...

Graph neural networks (GNNs) have emerged as a powerful framework for analyzing and learning from structured data represented as graphs. GNNs operate directly on graphs, as opposed to conventional ...

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 ...

Graphs and charts are fantastic tools for displaying data in an attractive visual format. This can make seeing data at a glance easy, which allows you to spot patterns or anomalies quickly. With the ...