The Graph Data Science library is based on an open source package of algorithms that Neo4j released as a community project back in 2017. That project gave Neo4j the feedback necessary to create a ...

Co-author Amy E. Hodler, an expert in network science who serves as graph analytics and AI program manager at Neo4j, explained why graph analytics and algorithms are an important consideration for ...

Neo4j uses Cypher as its native query language, but it isn’t necessary to access the algorithms in Snowflake, he said. “If you define a graph, you need Cypher, but you call and run algorithms ...

The number one graph database, Neo4j, is kicking off its Graph Connect event today and announcing a new version, 3.3. This version brings extended support for querying in Spark, ETL, analytics ...

Graph analytics is a hot topic, but what does it mean? At the DC GraphTour, I learned the difference between graph queries, graph algorithms, and graph analytics. Next up: San Francisco GraphTour.

For example, Neo4j Inc. has compared the performance of the Union-Find and PageRank algorithms in Neo4j and Apache Spark GraphX. The data set contained 1.47 billion relationships and 41.65 million ...

First is Node2Vec, a popular graph embedding algorithm that uses neural networks to learn continuous feature representations for nodes, which can then be used for downstream machine learning tasks.

Neo4j is the leader in the burgeoning graph database market, with 17 years in development and thousands of open source users. But the database has a hard limit in terms of scalability, since it ...

Peter Neubauer introduces Graph databases and how they compare to RDBMS' and where they stand in the NOSQL-movement, followed by examples of using a graph database in Java with Neo4j.

Graph platform Neo4j today announced that it raised $325 million at an over $2 billion valuation in a series F round led by Eurazeo, with additional investment from GV.