As the perils of cyber security breaches continue to plague industries, governments, and citizens throughout the world, the need to detect these infiltrating events, as well as identify their attack ...

Graph pattern matching constitutes the identification of specific substructures within a larger network, a task of central importance across disciplines as diverse as social media analysis, ...

Classic Graph Convolutional Networks (GCNs) often learn node representation holistically, which would ignore the distinct impacts from different neighbors when aggregating their features to update a ...

Graphs are a ubiquitous data structure and a universal language for representing objects and complex interactions. They can model a wide range of real-world systems, such as social networks, chemical ...

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 ...

Forbes contributors publish independent expert analyses and insights. I write about blockchain and big data, primarily focusing on XRP. The third part in series on how graph databases can be used to ...