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 ...

In recent years, the Massively Parallel Computation (MPC) model has gained significant attention. However, most of distributed and parallel graph algorithms in the MPC model are designed for static ...

Graphs are widely used to represent a wide variety of systems, ranging from the relationships between users of a social network to the payments among a network of bank accounts, and graph algorithms ...

A canonical problem in computer science is to find the shortest route to every point in a network. A new approach beats the ...

A couple of weeks ago, I attended and spoke at the first stop in the Neo4j GraphTour in Washington D.C. and I was able to get the best answer yet to a question that I’d been pondering: what’s the ...

Senior thesis completed at Trinity College for the Degree of Bachelor of Science in Computer Science. Abstract Graphs are mathematical objects that are comprised of nodes and edges that connect them.

Like the core algorithm, Google’s Knowledge Graph periodically updates. But little has been known about how, when, and what it means — until now. I believe these updates consist of three things: ...

LONDON--(BUSINESS WIRE)--Today Memgraph, the streaming graph application platform, announced Memgraph 2.0, the public launch of its source-available platform, making it easy for modern application ...

Forbes contributors publish independent expert analyses and insights. I write about blockchain and big data, primarily focusing on XRP. By applying a well-known graph algorithm to the XRP ledger data, ...