Comments (5)
from graph2vec.
Well, I have a undirected network of hundred of nodes & vertices and I would like to "organize it" according to the embeddings thanks to a DeepWalk. It would group de most connected notes (=clustering) and isolate the less connected ones.
I've seen the examples in the KarateClub page, but there is no visualization of the result obtained with the embeddings.
Note: I'm not very familiar with graphs, sorry if my questions sound absurds.
from graph2vec.
from graph2vec.
Can you star the repositories and follow me?
from graph2vec.
Thanks.
Yes of course.
from graph2vec.
Related Issues (20)
- node and edge attributes HOT 2
- ValueError while using the default Dataset HOT 2
- Graph2Vec datasets HOT 1
- Question about embeddings HOT 5
- Input JSON HOT 1
- Getting This Error When Running on a graph with 1304 nodes HOT 1
- [Question] Add PyPi package HOT 2
- worse results with latest version
- Error on executing graph2vec.py HOT 1
- how to get the graph dataset? HOT 1
- Using one example HOT 1
- RuntimeError: you must first build vocabulary before training the model HOT 1
- Graph2vec for graph similarity learning HOT 3
- graph encoding HOT 6
- model save and load HOT 1
- Can I use multiple features of a particular node? HOT 1
- how to generate embeddings of graphml or graphson files as input using your library?
- Graph2vec infer HOT 1
- What does the output file contain HOT 1
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from graph2vec.