I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...

József Balogh, Robert Morris, Wojciech Samotij, Lutz Warnke, The typical structure of sparse Kr+1-free graphs, Transactions of the American Mathematical Society, Vol. 368, No. 9 (September 2016), pp.

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

Battaglia & Co. pose the big question, "Where do the graphs come from that graph networks operate over?" Deep learning, they note, just absorbs lots of unstructured data, such as raw pixel ...

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 ...