Top 4 Python network-embedding Projects
A collection of important graph embedding, classification and representation learning papers with implementations.Project mention: GitHub repo of links to Graph ML papers and code | news.ycombinator.com | 2021-06-03
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
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PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)Project mention: PyTorch Geometric Temporal 0.37 | reddit.com/r/GeometricDeepLearning | 2021-06-18
Project mention: [D] Why I'm Lukewarm on Graph Neural Networks | reddit.com/r/MachineLearning | 2021-01-04
Besides, they implemented a fast C++ version of the code that works for much larger graphs. If one searches for ProNE's implementation, they would (hypothetically) find the scikit-style wrapper instead of the fully-functional release. It reminds me of a situation with HOPE, when authors of one survey "implemented" it as naive SVD (https://github.com/palash1992/GEM/blob/master/gem/embedding/hope.py#L68) instead of Jacobi-Davidson generalized solver described in the paper (and literally with code released!!). In the end, I would assume that poor paper was less cited because of that repackaging effort.
What are some of the best open-source network-embedding projects in Python? This list will help you:
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