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 ...

Forbes contributors publish independent expert analyses and insights. Working on digital transformation by busting boundaries. This article is more than 4 years old. The creator of Bitcoin, Satoshi ...

Depending on the underlying graph, you also need to handle cycles intelligently. In social networks, mutual relationships are ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Jinsong Yu shares deep architectural insights ...

Graph databases represent one of the fastest-growing areas in the database market. MarketsandMarkets’ report on graph databases predicts that graph databases will grow from $1.9 billion in 2021 to ...

Most enterprise computing shops are engrained quite heavily in a particular development platform, with the two key players in the enterprise computing world being Oracle's Java EE platform and ...