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Learning graph representations via low-dimensional embeddings that preserve relevant network properties is an important class of problems in machine learning.
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Krioukov, D., Papadopoulos, F., Kitsak, M., Vahdat, A., and Boguná, M · 2010
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Distributed representations of words and phrases and their compositionality
Mikolov, T., Sutskever, I., Chen, K., Corrado, G. S., and Dean, J · 2013
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Parkkonen, J · 2013
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Fu, R., Guo, J., Qin, B., Che, W., Wang, H., and Liu, T · 2014
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Representation tradeoffs for hyperbolic embeddings
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