Amid the chaos of revolutionary France, one man’s mathematical obsession gave way to a calculation that now underpins much of ...

Infinigraph is a new distributed graph architecture that allows Neo4j’s database to run operational and analytical workloads ...

Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role.

Abstract: Graph signals are signals with an irregular structure that can be described by a graph. Graph neural networks (GNNs) are information processing architectures tailored to these graph signals ...

KUALA LUMPUR, July 8 — Tenaga Nasional Berhad (TNB) said it has resolved the technical issue that had caused inaccurate July electricity usage graphs to appear in its myTNB mobile application. The ...

Abstract: Activation functions are crucial in graph neural networks (GNNs) as they allow defining a nonlinear family of functions to capture the relationship between the input graph data and their ...

Cryptographic hash functions secure data by providing a unique fixed-length output for each input. These functions are essential in blockchain for data integrity and secure transactions. Understanding ...

Microsoft Excel is a powerful spreadsheet program which you can use to graph functions, including functions that produce curves. One limitation of Excel is that it doesn't have a built in function to ...