A graph is a data structure that represents a collection of interconnected nodes through a set of edges. This abstract structure is highly versatile and finds applications in various domains, from ...

🟣 Graph Data Structure interview questions and answers to help you prepare for your next data structures and algorithms interview in 2024.

Learn the basics of the most important data structures and algorithms to master for coding interviews, and how to practice and apply them.

Skip graphs are a type of distributed data structure that can efficiently store and query complex data structures and operations such as graphs, trees, and sets.

Graph data science is when you want to answer questions, not just with your data, but with the connections between your data points — that’s the 30-second explanation, according to Alicia Frame.

By visually mapping nodes and edges, graph visualization tools enable us to understand the structure and dynamics of networks, hierarchies, and other complex data structures. Graph visualization tools ...

In the new knowledge-based digital world, encoding and making use of business and operational knowledge is the key to making progress and staying competitive. Here's a shortlist of technologies ...

If a data set has a complex underlying structure, then modeling it as a graph may reveal only a limited projection of the whole story. Emilie Purvine of the Pacific Northwest National Laboratory is ...