Neo4j, Neptune, and Cosmos DB are all OLTP graph databases, although Neo4j has recently added some OLAP capabilities. TigerGraph is an HTAP graph database and claims swift, deep analytics as well ...

Graph databases offer a more efficient way to model relationships and networks ... TigerGraph was designed to be able to perform deep link analytics as well as real-time online transaction ...

As we can see, the top predictions of our method are reliable and can be used for inferring novel functions not present in the database. Pseudo2GO is a graph-based deep learning model for predicting ...

Abstract: Graph‐based deep‐learning accelerators have been developed. They function as the Multiple Instructions Multiple Data machines to perform massive parallel operations. Blaize Graph Streaming ...

BERT (Bidirectional Encoder Representations from Transformers) is outstanding among many other representation models and vector representation based on Bert pre-training language model ... the ...

These factors make deep learning not widely used in microbiome-wide association studies. In this work, we construct a sparse microbial interaction network and embed this graph into deep model to ...

A graph database uses a graphical model to represent and store data. The global graph database market size was valued at USD 651 million in 2018 and is projected to reach USD 3,731 million by 2026, ...

A research team from Kumamoto University has developed a promising deep learning model that significantly ... However, conventional Graph Neural Networks (GNNs) often struggle with accuracy ...