Dynamic graph algorithms and data structures represent a vital research frontier in computer science, underpinning applications from network analysis to real-time system monitoring. These methods ...

Graph-structured data are pervasive in the real-world such as social networks, molecular graphs and transaction networks.

Researchers uncovered new personality traits and developed a new personality hierarchy using novel data science methods in taxonomic graph analysis ...

After relational, key-value, document, columnar, and time-series databases, the latest link in this evolutionary proliferation of data structures is graph.

This graph-shaped amalgamation of data points, relationships, metadata, and meaning is what we call a knowledge graph. Google introduced the term in 2012, and it’s now used far and wide.

Informatica's Gaurav Pathak and Fivetran's George Fraser discussed the evolving data stack and the role of metadata knowledge graphs during Supercloud 7.

This makes data structures one of the most fundamental components of computer science, and this is why they are at the core of all subfields, including data systems (relational, key-value, graph ...