Currently this is work in progress, it doesn't reproduce anything and is lacking more tests and further examples.
PyTorch implementation of a version of the Splitter algorithm for graph embeddings. Compatible with PyTorch 1.0.0 and Python 3.7 with or without CUDA.
This follows (or attempts to; note this implementation is unofficial) the algorithm described in "Is a Single Embedding Enough? Learning Node Representations that Capture Multiple Social Contexts" of Alessandro Epasto, Bryan Perozzi (http://epasto.org/papers/www2019splitter.pdf; the official implementation can be found at https://github.com/google-research/google-research/tree/master/graph_embedding/persona).
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