Bibliography

[ACLS20]

Ralph Abboud, İsmail İlkan Ceylan, Thomas Lukasiewicz, and Tommaso Salvatori. BoxE: A box embedding model for knowledge base completion. In Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, 1–13. 2020.

[ASAM20]

Breit Anna, Ott Simon, Agibetov Asan, and Samwald Matthias. OpenBioLink: a benchmarking framework for large-scale biomedical link prediction. Bioinformatics, 36(13):4097–4098, 2020.

[BUGD+13]

Antoine Bordes, Nicolas Usunier, Alberto García-Durán, Jason Weston, and Oksana Yakhnenko. Translating embeddings for modeling multi-relational data. In Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013, 2787–2795. 2013.

[CJM+22]

Alberto Cattaneo, Daniel Justus, Harry Mellor, Douglas Orr, Jerome Maloberti, Zhenying Liu, Thorin Farnsworth, Andrew Fitzgibbon, Blazej Banaszewski, and Carlo Luschi. BESS: balanced entity sampling and sharing for large-scale knowledge graph completion. arXiv preprint arXiv:2211.12281, 2022.

[CHWC21]

Linlin Chao, Jianshan He, Taifeng Wang, and Wei Chu. PairRE: Knowledge Graph Embeddings via Paired Relation Vectors. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, ACL/IJCNLP 2021, (Volume 1: Long Papers), Virtual Event, August 1-6, 2021, 4360–4369. 2021.

[DPPR18]

Tim Dettmers, Minervini Pasquale, Stenetorp Pontus, and Sebastian Riedel. Convolutional 2d knowledge graph embeddings. In Proceedings of the 32th AAAI Conference on Artificial Intelligence, 1811–1818. 2018.

[HFZ+20]

Weihua Hu, Matthias Fey, Marinka Zitnik, Yuxiao Dong, Hongyu Ren, Bowen Liu, Michele Catasta, and Jure Leskovec. Open graph benchmark: datasets for machine learning on graphs. In Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020. 2020.

[JCMB15]

Sébastien Jean, Kyunghyun Cho, Roland Memisevic, and Yoshua Bengio. On using very large target vocabulary for neural machine translation. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 1–10. 2015.

[MBS15]

Farzaneh Mahdisoltani, Joanna Biega, and Fabian M. Suchanek. YAGO3: A knowledge base from multilingual wikipedias. In Seventh Biennial Conference on Innovative Data Systems Research, CIDR 2015, Asilomar, CA, USA, January 4-7, 2015, Online Proceedings. 2015.

[SDNT19]

Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie, and Jian Tang. RotatE: knowledge graph embedding by relational rotation in complex space. In 7th International Conference on Learning Representations, ICLR 2019. 2019.

[TWR+16]

Théo Trouillon, Johannes Welbl, Sebastian Riedel, Éric Gaussier, and Guillaume Bouchard. Complex embeddings for simple link prediction. In Proceedings of the 33rd International Conference on Machine Learning, ICML 2016, volume 48 of JMLR Workshop and Conference Proceedings, 2071–2080. 2016.

[WMW+22]

Baoxin Wang, Qingye Meng, Ziyue Wang, Honghong Zhao, Dayong Wu, Wanxiang Che, Shijin Wang, Zhigang Chen, and Cong Liu. InterHT: Knowledge Graph Embeddings by Interaction between Head and Tail Entities. arXiv preprint arXiv:2202.04897, 2022.

[YYH+15]

Bishan Yang, Wen-tau Yih, Xiaodong He, Jianfeng Gao, and Li Deng. Embedding entities and relations for learning and inference in knowledge bases. In 3rd International Conference on Learning Representations, ICLR 2015. 2015.

[YLL+22]

Long Yu, Zhicong Luo, Huanyong Liu, Deng Lin, Hongzhu Li, and Yafeng Deng. TripleRE: Knowledge Graph Embeddings via Tripled Relation Vectors. arXiv preprint arXiv:2209.08271, 2022.

[ZYX22]

Xuanyu Zhang, Qing Yang, and Dongliang Xu. TranS: Transition-based Knowledge Graph Embedding with Synthetic Relation Representation. In Findings of the Association for Computational Linguistics: EMNLP 2022, 1202–1208. 2022.