Abstract: Many graph-based algorithms in high performance computing (HPC) use approximate solutions due to having algorithms that are computationally expensive or serial in nature. Neural acceleration ...

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

This section focuses on the key features and methods for working with linear graphs. It demonstrates how to sketch graphs from rules, derive rules from graphs, and calculate key features such as the ...

This CLI will create an interactive graph of all the functions and their calls in the TypeScript files you provide.

Abstract: Learning embeddings for entities and relations in knowledge graph (KG) have benefited many downstream tasks. In recent years, scoring functions, the crux of KG learning, have been human ...

Struct2GO is a protein function prediction model based on self-attention graph pooling, which utilizes structural information from AlphaFold2 to augment the accuracy and generality of the model's ...

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

Firms that fail to shine light on their dark data risk ceding the high ground in insights and inviting risk exposures lurking ...

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 ...

Roll Tide! No that’s more like it. This graphing column, I’ll admit, is a much more interesting read when we’re breaking down ...

The stochastic oscillator is an indicator of momentum for stocks, often used by day traders and technical traders. Read more ...