TikZiT VS NetworkX

Take a look at TikZiT, which is a FOSS GUI for creating tikz files and also turning them into image files. I found it really useful for learning TikZ. Note that you don't need TikZiT to generate images, it's just an example of how it's done. Source: over 1 year ago

The best way to TikZ is to copy-paste from previous figures you've created. The second best is to look for a similar figure on TeXample https://texample.net/tikz/examples/ or stack overflow https://tex.stackexchange.com/questions/tagged/tikz-pgf The third best option is to use squared paper to draw by hand, then transfer hand-drawn stuff into TikZ code. It's slow as hell, but works well if you build up a... - Source: Hacker News / about 2 years ago

I suggest you use a gui tool for tikz like Tikzit. Source: about 2 years ago

Would recommend tikzpicture, you can create that sort of diagram and have it written as latex coding to implement in your file. You can create the diagram in TikZit (https://tikzit.github.io) or with MathCha (https://www.mathcha.io). Source: over 2 years ago

A graphical TikZ editor for graphs https://tikzit.github.io/. Source: over 2 years ago

In the project we used Python lib networkx and a DiGraph object (Direct Graph). To detect a table reference in a Query, we use sqlglot, a SQL parser (among other things) that works well with Bigquery. - Source: dev.to / 4 months ago

If you program in Python, can use NetworkX for that. But it's probably a good idea to implement the basic algorithms yourself at least one time. Source: 5 months ago

For those wanting to play with graphs and ML I was browsing the arangodb docs recently and I saw that it includes integrations to various graph libraries and machine learning frameworks [1]. I also saw a few jupyter notebooks dealing with machine learning from graphs [2]. Integrations include: * NetworkX -- https://networkx.org/ * DeepGraphLibrary -- https://www.dgl.ai/ * cuGraph (Rapids.ai Graph) --... - Source: Hacker News / 7 months ago

Org-roam-ui is a great interactive visualization tool, but its main use is visualization. The hope of this library is that it could be part of a larger graph analysis pipeline. The demo provides an example graph visualization, but what you choose to do with the resulting graph certainly isn't limited to that. See for example networkx. Source: 12 months ago

Back in college, I had an assignment deadline coming up and I wanted to work on it in the train since I had an 8-hour journey ahead of me. It was about some analysis of graph data, which used a Python package called NetworkX. The train's WiFi didn't allow me to access their documentation because it apparently thought it was porn. Source: 12 months ago