Add awesome graph embedding repository.

The repository is an exhaustive list of graph representation learning research papers with reference implementations. The machine learning task is to create representations of whole graphs from a database e.g. molecules, financial transaction graphs etc. It covers factorization models, graph kernels, statistical fingerprints and deep learning.
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Do You Even Cross-Validate? 2018-10-21 16:52:19 +01:00 committed by Miguel Piedrafita
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<!-- Please fill in the **bold** fields, submit the pull request and tick the checkboxes. DO NOT SUBMIT ANYTHING IF YOU FAIL ANY OF THIS RULES -->
**[Insert URL to the list here.]**
**[https://github.com/benedekrozemberczki/awesome-graph-embedding]**
**[Explain what this list is about and why it should be included here.]**
**[The repository is an exhaustive list of graph representation learning research papers with reference implementations. The machine learning task is to create representations of whole graphs from a database e.g. molecules, financial transaction graphs etc. It covers factorization models, graph kernels, statistical fingerprints and deep learning.]**
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- [x] This pull request has a descriptive title. For example, `Add [Name of List]`, not `Update readme.md` or `Add an awesome list`.
- [x] The list I added **has been around for at least 20 days**,
- [x] The list I added is a non-generated Markdown file in a GitHub repo,
- [x] The list I added is not a duplicate