I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful.

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

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

A set of independence statements may define the independence structure of interest in a family of joint probability distributions. This structure is often captured by a graph that consists of nodes ...

Direct Acyclic Graph or DAG may be it. What is DAG? DAG is a directed graph data structure that uses a topological ordering. The sequence can only go from earlier to later.

Graphs -- data structures that show the relationship among objects -- are highly versatile. It's easy to imagine a graph depicting a social media network's web of connections. But graphs are also ...

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

What makes some good software developers good at building large scale software but weak at data structures and algorithms? This question was originally answered on Quora by Gayle Laakmann McDowell.