References

[kulmanov2019]

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[chen2020]

Jun Chen, Azza Althagafi, Robert Hoehndorf, Predicting candidate genes from phenotypes, functions and anatomical site of expression, Bioinformatics, Volume 37, Issue 6, March 2021, Pages 853–860

[chen2020b]

Chen, J., Hu, P., Jiménez-Ruiz, E., Holter, O., Antonyrajah, D., & Horrocks, I. (2020). OWL2Vec*: embedding of OWL ontologies. Machine Learning, 110, 1813 - 1845.

[zhapa2023]

Zhapa-Camacho, F., & Hoehndorf, R. (2023). CatE: Graph-Based Embeddings of ALC Ontologies Using Category-Theoretical Diagrams. ArXiv, abs/2305.07163.

[perozzi2014]

Perozzi, B., Al-Rfou, R., & Skiena, S.S. (2014). DeepWalk: online learning of social representations. Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining.

[grover2016]

Grover, A., & Leskovec, J. (2016). node2vec: Scalable Feature Learning for Networks. Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.

[peng2020]

Peng, X., Tang, Z., Kulmanov, M., Niu, K., & Hoehndorf, R. (2022). Description Logic EL++ Embeddings with Intersectional Closure. ArXiv, abs/2202.14018.

[jackermeier2023]

Jackermeier, M., Chen, J., & Horrocks, I. (2023). Box2EL: Concept and Role Box Embeddings for the Description Logic EL++. ArXiv, abs/2301.11118.

[xiong2022]

Xiong, B., Potyka, N., Tran, TK., Nayyeri, M., Staab, S. (2022). Faithful Embeddings for EL++ Knowledge Bases. In: Sattler, U., et al. The Semantic Web – ISWC 2022. ISWC 2022. Lecture Notes in Computer Science, vol 13489. Springer, Cham. https://doi.org/10.1007/978-3-031-19433-7_2

[brieulle2022]

Ludovic Brieulle, Chan Le Duc, & Pascal Vaillant (2022). Reasoning in the Description Logic ALC under Category Semantics (Extended Abstract). In Proceedings of the 35th International Workshop on Description Logics (DL 2022) co-located with Federated Logic Conference (FLoC 2022), Haifa, Israel, August 7th to 10th, 2022. CEUR-WS.org.

[chen2025]
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[hoehndorf2025]

Hoehndorf, R., Pesquita, C., & Zhapa-Camacho, F. (2025). Neuro-Symbolic AI in Life Sciences. In Frontiers in Artificial Intelligence and Applications. Frontiers in Artificial Intelligence and Applications. doi:10.3233/faia250239