Bibliography

ABK+07

Sören Auer, Christian Bizer, Georgi Kobilarov, Jens Lehmann, Richard Cyganiak, and Zachary Ives. Dbpedia: a nucleus for a web of open data. In The semantic web, 722–735. Springer, 2007.

BHBL11

Christian Bizer, Tom Heath, and Tim Berners-Lee. Linked data: the story so far. In Semantic services, interoperability and web applications: emerging concepts, 205–227. IGI Global, 2011.

BUGD+13

Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran, Jason Weston, and Oksana Yakhnenko. Translating embeddings for modeling multi-relational data. In Advances in neural information processing systems, 2787–2795. 2013.

DMSR18

Tim Dettmers, Pasquale Minervini, Pontus Stenetorp, and Sebastian Riedel. Convolutional 2d knowledge graph embeddings. In Procs of AAAI. 2018. URL: https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/17366.

HOSM17

Takuo Hamaguchi, Hidekazu Oiwa, Masashi Shimbo, and Yuji Matsumoto. Knowledge transfer for out-of-knowledge-base entities: A graph neural network approach. IJCAI International Joint Conference on Artificial Intelligence, pages 1802–1808, 2017.

HS17

Katsuhiko Hayashi and Masashi Shimbo. On the equivalence of holographic and complex embeddings for link prediction. CoRR, 2017. URL: http://arxiv.org/abs/1702.05563, arXiv:1702.05563.

NRP+16

Maximilian Nickel, Lorenzo Rosasco, Tomaso A Poggio, and others. Holographic embeddings of knowledge graphs. In AAAI, 1955–1961. 2016.

PC21

Sumit Pai and Luca Costabello. Learning Embeddings from Knowledge Graphs With Numeric Edge Attributes. In IJCAI. 2021. URL: https://arxiv.org/abs/2105.08683.

SKW07

Fabian M Suchanek, Gjergji Kasneci, and Gerhard Weikum. Yago: a core of semantic knowledge. In Procs of WWW, 697–706. ACM, 2007.

SDNT19

Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie, and Jian Tang. Rotate: knowledge graph embedding by relational rotation in complex space. In International Conference on Learning Representations. 2019. URL: https://openreview.net/forum?id=HkgEQnRqYQ.

TC20

Pedro Tabacof and Luca Costabello. Probability Calibration for Knowledge Graph Embedding Models. In ICLR. 2020. URL: https://arxiv.org/abs/1912.10000.

TWR+16

Théo Trouillon, Johannes Welbl, Sebastian Riedel, Éric Gaussier, and Guillaume Bouchard. Complex embeddings for simple link prediction. In International Conference on Machine Learning, 2071–2080. 2016.

YYH+14

Bishan Yang, Wen-tau Yih, Xiaodong He, Jianfeng Gao, and Li Deng. Embedding entities and relations for learning and inference in knowledge bases. arXiv preprint, 2014.