Ontology Pre-training for Poison Prediction-Reference-Cited by-同舟云学术

Ontology Pre-training for Poison Prediction

Published:2023 Issue: Volume: Page:31-45
ISSN:0302-9743
Container-title:KI 2023: Advances in Artificial Intelligence
language:
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Author:

Glauer Martin^ORCID,Neuhaus Fabian^ORCID,Mossakowski Till^ORCID,Hastings Janna^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-42608-7_4

Reference32 articles.

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3. Chen, J., Hu, P., Jimenez-Ruiz, E., Holter, O.M., Antonyrajah, D., Horrocks, I.: OWL2Vec*: embedding of OWL ontologies. Mach. Learn. 110(7), 1813–1845 (2021). https://doi.org/10.1007/s10994-021-05997-6

4. Chen, J., Si, Y.-W., Un, C.-W., Siu, S.W.I.: Chemical toxicity prediction based on semi-supervised learning and graph convolutional neural network. J. Cheminform. 13(1), 1–16 (2021). https://doi.org/10.1186/s13321-021-00570-8

5. Chithrananda, S., Grand, G., Ramsundar, B.: Chemberta: large-scale self-supervised pretraining for molecular property prediction. arXiv preprint arXiv:2010.09885 (2020)

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