GDS 2.0 and AuraDS from Neo4j bring graph data science one step closer to mainstream adoption.

Knowledge graphs should be a data executive’s secret weapon. It’s time for you to get as smart as Amazon, Facebook, Goldman Sachs, Google and other data-driven leaders.

Science and data are interwoven in many ways. The scientific method has lent a good part of its overall approach and practices to data-driven analytics, software development, and data science. Now ...

Katie Roberts, PhD, data science solution architect at Neo4j, joined DBTA's webinar, 'Solving Data Challenges with Knowledge Graphs and Context-Aware Recommendation Systems,' to explore how building ...

In the first direction, I shall discuss how data management techniques can assist in generating user-friendly, configurable, queryable, and robust explanations for graph neural networks. In the second ...

Network graphs, now growing in popularity, are designed to help us see connections, capturing the interplay between many dimensions.

Knowledge graphs are a valuable tool that organizations can use to manage the vast amounts of data they collect, store, and analyze. At Data Summit 2023, Joseph Hilger, COO, Enterprise Knowledge LLC ...

Knowledge graphs are knowledge bases that use graph-structured, semantic data models to interlink data and support intuitive search and exploration of knowledge.