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In this work we address the problem of fast and scalable learning of neuro-symbolic representations for general biological knowledge.
Wordnet: a lexical database for english
Miller, G.A.: · 1995
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Gene ontology: tool for the unification of biology. the gene ontology consortium
Ashburner, M., Ball, C.A., Blake, J.A., Botstein, D., Butler, H., Cherry, J.M., Davis, A.P., Dolinski, K., Dwight, S.S., Eppig, J.T., Harris, M.A., Hill, D.P., Issel-Tarver, L., Kasarskis, A., Lewis, S., Matese, J.C., Richardson, J.E., Ringwald, M., Rubin, G.M., Sherlock, G.: · 2000
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Freebase: A collaboratively created graph database for structuring human knowledge
Bollacker, K., Evans, C., Paritosh, P., Sturge, T., Taylor, J.: · 2008
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Translating embeddings for modeling multi-relational data
Bordes, A., Usunier, N., Garcia-Duran, A., Weston, J., Yakhnenko, O.: · 2013
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Distributed representations of words and phrases and their compositionality
Mikolov, T., Sutskever, I., Chen, K., Corrado, G., Dean, J.: · 2013
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Deepwalk: Online learning of social representations
Perozzi, B., Al-Rfou, R., Skiena, S.: · 2014
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The human phenotype ontology project: linking molecular biology and disease through phenotype data
Köhler, S., Doelken, S.C., Mungall, C.J., Bauer, S., Firth, H.V., Bailleul-Forestier, I., Black, G.C.M., Brown, D.L., Brudno, M., Campbell, J., FitzPatrick, D.R., Eppig, J.T., Jackson, A.P., Freson, K., Girdea, M., Helbig, I., Hurst, J.A., Jähn, J., Jackson, L.G., Kelly, A.M., Ledbetter, D.H., Mansour, S., Martin, C.L., Moss, C., Mumford, A., Ouwehand, W.H., Park, S.M., Riggs, E.R., Scott, R.H., Sisodiya, S., Van Vooren, S., Wapner, R.J., Wilkie, A.O.M., Wright, C.F., Vulto-van Silfhout, A.T., de Leeuw, N., de Vries, B.B.A., Washingthon, N.L., Smith, C.L., Westerfield, M., Schofield, P., Ruef, B.J., Gkoutos, G.V., Haendel, M., Smedley, D., Lewis, S.E., Robinson, P.N.: · 2014
Cited alongside, same era.
Disease ontology 2015 update: an expanded and updated database of human diseases for linking biomedical knowledge through disease data
Kibbe, W.A., Arze, C., Felix, V., Mitraka, E., Bolton, E., Fu, G., Mungall, C.J., Binder, J.X., Malone, J., Vasant, D., Parkinson, H., Schriml, L.M.: · 2015
Cited alongside, same era.
A review of relational machine learning for knowledge graphs
Nickel, M., Murphy, K., Tresp, V., Gabrilovich, E.: · 2016
Cited alongside, same era.
Rdf2vec: Rdf graph embeddings for data mining
Ristoski, P., Paulheim, H.: · 2016
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Global rdf vector space embeddings
Cochez, M., Ristoski, P., Ponzetto, S.P., Paulheim, H.: · 2017
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Neuro-symbolic representation learning on biological knowledge graphs
Alshahrani, M., Khan, M.A., Maddouri, O., Kinjo, A.R., Queralt-Rosinach, N., Hoehndorf, R.: · 2017
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Starspace: Embed all the things!
Wu, L., Fisch, A., Chopra, S., Adams, K., Bordes, A., Weston, J.: · 2017
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node2vec: Scalable feature learning for networks
Grover, A., Leskovec, J.: · 2016
Cited alongside, same era.