I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...

For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of ...

In today's era of information explosion, efficiently extracting valuable knowledge from vast amounts of data has become a significant challenge faced by both enterprises and individuals. On September ...

Graph database fave also punts for transactional workloads Neo4j has introduced "property sharding" which, according to one ...

New architecture fuses real-time transactions and analytics in one platform, with breakthrough performance and full fidelity at unprecedented scale Neo4j, the leading graph database and analytics ...

The Graph, a project that says it's sometimes called the Google of Web3, has come out with a new roadmap, outlining new features the network will add as it characterizes itself as the leader of ...