[1] Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, and Jeffrey Dean. Distributed representations of words and phrases and their compositionality. In Proceedings of the 26th International Conference on Neural Information Processing Systems — Volume 2, NIPS’13, page 3111–3119, Red Hook, NY, USA, 2013. Curran Associates Inc.
[2] Tomás Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. Efficient estimation of word representations in vector space. In Yoshua Bengio and Yann LeCun, editors, 1st International Conference on Learning Representations, ICLR 2013, Scottsdale, Arizona, USA, May 2–4, 2013, Workshop Track Proceedings, 2013.
[3] Bryan Perozzi, Rami Al-Rfou, and Steven Skiena. Deepwalk: Online learning of social representations. In Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining, pages 701–710, 2014.
[4] Aditya Grover and Jure Leskovec. Node2vec: Scalable feature learning for networks. In 22Nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 855–864, New York, NY, USA, 2016. ACM.
[5] Nan Wang, Hongning Wang, Yiling Jia, and Yue Yin. Explainable recommendation via multi-task learning in opinionated text data. In The 41st International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR ’18, page 165–174, New York, NY, USA, 2018. Association for Computing Machinery.
[6] Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran, Jason Weston, and Oksana Yakhnenko. Translating embeddings for modeling multi-relational data. In C. J. C. Burges, L. Bottou, M. Welling, Z. Ghahramani, and K. Q. Weinberger, editors, Advances in Neural Information Processing Systems, volume 26, Lake Tahoe, Nevada, United States, 2013. Curran Associates, Inc.
[7] Zhen Wang, Jianwen Zhang, Jianlin Feng, and Zheng Chen. Knowledge graph embedding by translating on hyperplanes. In Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, AAAI’14, pages 1112–1119, Québec City, Québec, Canada, 2014. AAAI Press.
[8] Yankai Lin, Zhiyuan Liu, Maosong Sun, Yang Liu, and Xuan Zhu. Learning entity and relation embeddings for knowledge graph completion. In Proceedings of the TwentyNinth AAAI Conference on Artificial Intelligence, AAAI’15, pages 2181–2187, Austin, Texas, 2015. AAAI Press.
[9] Maximilian Nickel, Volker Tresp, and Hans-Peter Kriegel. A three-way model for collective learning on multi-relational data. In Proceedings of the 28th International Conference on International Conference on Machine Learning, ICML’11, pages 809–816, Madison, WI, USA, 2011. Omnipress.
[10] Richard Socher, Danqi Chen, Christopher D Manning, and Andrew Ng. Reasoning with neural tensor networks for knowledge base completion. In C. J. C. Burges, L. Bottou, M. Welling, Z. Ghahramani, and K. Q. Weinberger, editors, Advances in Neural Information Processing Systems, volume 26, Lake Tahoe, Nevada, United States, 2013. Curran Associates, Inc