I do a fair bit of work with graph data, nothing fancy -- social networks and the like. I'm starting to combine them with NLP processes, running pairwise semantic similarity search across a corpus and building graphs that way. Seems really promising, certainly fun.
The problem I most often come across is an apparent lack of guidance and out-of-the-box tooling on applying a time dimension to graphs. Has anyone here seen anything cool done on that front?
The problem I most often come across is an apparent lack of guidance and out-of-the-box tooling on applying a time dimension to graphs. Has anyone here seen anything cool done on that front?