Abstract: Knowledge graphs (KGs) possess a vital role in enhancing the semantic comprehension of extensive datasets across many fields. It facilitate activities like recommendation systems, semantic ...

Abstract: Graph neural networks (GNNs) are capable of modeling graph data using various types of nodes and edges, and thus can be widely used in the fields of recommender systems and bioinformatics.

Keep an eye on the future but hone your coding craft in the now. Start here, with nine timeless JavaScript coding concepts, a ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with two-way interactions between ...

Morris.js is the library that powers the graphs on http://howmanyleft.co.uk/. It's a very simple API for drawing line, bar, area and donut charts. I'm unfortunately ...

Currently each input and output in a nodegraph is their own separate node. This can complicate nodegraphs with many inputs or outputs. It would be interesting to instead have a single "input" node ...