SAN FRANCISCO, April 24, 2019 /PRNewswire/ -- SPARK + AI SUMMIT – Neo4j, the leader in graph database technologies, announced today the launch of Graph Algorithms: Practical Examples in Apache ...

Graph database vendor Neo4j Inc. is teaming up with Snowflake Inc. to make a library of Neo4j’s graph analytics functions available in the Snowflake cloud. The deal announced today allows users ...

Neo4j brings complex graph algorithms to Snowflake natively, enabling customers to create knowledge graphs and generate vectors based on structured, unstructured, and relationship data. Neo4j offers ...

Neo4j is both the original graph database and the continued leader in the graph database market. Designed to store entities and relationships, and optimized to perform graph operations such as ...

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, a provider of graph technology, is launching Neo4j for Graph Data Science, a data science environment built to harness the predictive power of relationships for enterprise deployments. Neo4j ...

Neo4j today took the wraps off several major improvements to its cloud-based graph database, dubbed Neo4j AuraDB, including a new GenAI-infused console, an interactive dashboard builder, a new ...

Neo4j is not yet a fully distributed graph database, even with 4.0. But with the new multiple database feature – which essentially allows users to shard a single graph database into multiple ...

Graph database company Neo4j wants to move beyond providing only its graph database, and is working on what it calls a 'graph platform' to help companies make the most of their data.

Graph database startup Neo4j raised $320 million at an over $2 billion valuation, highlighting the value of graph databases.