In other words, graph can help you “connect the dots.” Examine the names of the data structures you are trying to analyze.

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

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

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 ...

Writing complex data structures in Go can help developers better understand the principles of pointers and references.