snorkel VS grape

The paid product came out of an open source tool: https://github.com/snorkel-team/snorkel

Actually, I referenced it in my issue as well. There seems to be different utils.py file in different folders under the snorkel-tutorials repo but the utils file we get after importing snorkel has a different [file](https://github.com/snorkel-team/snorkel/blob/master/snorkel/utils/core.py) ,i.e. the utils file is different in the main snorkel repo

Snorkel (https://github.com/snorkel-team/snorkel) might provide you exactly what you are looking for. From the docs:

Ideally, you'd embed the graph into 2 or 3d first, then visualize it as a scatterplot.

Visualizing the edges at scale doesnt yield nice results in general.

The way to do it is to reduce the graph to some 300d or 500d embeddings, then use TSNE/UMAP/PACMAP to reduce that to 3d. Then visualize.

My prefered way is to use some first order embedding method like GGVec in this library [1] (disclaimer I wrote it). Node2Vec and ProNE don't yield great embeddings for visualization (the first is too filamented, the second too close to the unit ball).

Another great library to do this work is GRAPE [2]. Try first-order embedding methods, or short walks on second order methods to avoid the embeddings being too filamented by long random walk sampling.

[1] https://github.com/VHRanger/nodevectors

[2] https://github.com/AnacletoLAB/grape/

For graph embeddings, there's quite a few. I'd recommend this one, but there's also this one (disclaimer: I'm the author) or this one, more of a DGL library.