D.F. (Daniel) Daza Cruz
Faculty of Science
Informatics Institute
Visiting address
- Science Park 904
Postal address
-
Postbus 94323
1090 GH Amsterdam
Contact details
-
Publications
2023
- Arakelyan, E., Minervini, P., Daza, D., Cochez, M., & Augenstein, I. (in press). Adapting Neural Link Predictors for Data-Efficient Complex Query Answering. In 37th Conference on Neural Information Processing Systems (NeurIPS 2023) (Advances in Neural Information Processing Systems; Vol. 36). Neural Information Processing Systems Foundation. https://openreview.net/forum?id=1G7CBp8o7L
Cochez, M., Alivanistos, D., Arakelyan, E., Berrendorf, M., Daza, D., Galkin, M., Minervini, P., Niepert, M., & Ren, H. (2023). Approximate Answering of Graph Queries. In P. Hitzler, M. K. Sarker, & A. Eberhart (Eds.), Compendium of Neurosymbolic Artificial Intelligence (pp. 373-386). (Frontiers in Artificial Intelligence and Applications; Vol. 369). IOS Press. https://doi.org/10.48550/arXiv.2308.06585, https://doi.org/10.3233/FAIA230149 [details]- Daza, D., Alivanistos, D., Mitra, P., Pijnenburg, T., Cochez, M., & Groth, P. (2023). BioBLP: a modular framework for learning on multimodal biomedical knowledge graphs. Journal of Biomedical Semantics, 14, Article 20. https://doi.org/10.1186/s13326-023-00301-y [details]
- Xiong, B., Nayyeri, M., Daza, D., & Cochez, M. (2023). Reasoning beyond Triples: Recent Advances in Knowledge Graph Embeddings. In CIKM '23: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management : October 21-25, 2023, Birmingham, England (pp. 5228-5231). Association for Computing Machinery. https://doi.org/10.1145/3583780.3615294
2022
- Daza, D., Cochez, M., & Groth, P. (2022). SlotGAN: Detecting Mentions in Text via Adversarial Distant Learning. In A. Vlachos, P. Agrawal, A. Martins, G. Lampouras, & C. Lyu (Eds.), Sixth Workshop on Structured Prediction for NLP: Proceedings of the Workshop : SPNLP 2022 : May 27, 2022 (pp. 32-39). Association for Computational Linguistics. https://doi.org/10.18653/v1/2022.spnlp-1.4 [details]
2021
- Arakelyan, E., Daza Cruz, D. F., Minervini, P., & Cochez, M. (2021). Complex Query Answering with Neural Link Predictors. In International Conference on Learning Representations (ICLR) https://openreview.net/forum?id=Mos9F9kDwkz
- Daza, D., Cochez, M., & Groth, P. (2021). Inductive entity representations from text via link prediction. In The Web Conference 2021: proceedings of the World Wide Web Conference WWW 2021 : April 19-23, 2021, Ljubljana, Slovenia (pp. 798-808). Association for Computing Machinery. https://doi.org/10.1145/3442381.3450141 [details]
2023
- Hu, Q., Daza, D., Swinkels, L., Usaite, K., Hoen, R-J. ., & Groth, P. (2023). Harnessing the Web and Knowledge Graphs for Automated Impact Investing Scoring. Paper presented at KDD Workshop: Fragile Earth: AI for Climate Sustainability - from Wildfire Disaster Management to Public Health and Beyond, Long Beach, California, United States. https://doi.org/10.48550/arXiv.2308.02622
2021
- Daza Cruz, D., Cochez, M. & Groth, P. (2021). Inductive WN18RR and FB15k-237. Zenodo. https://doi.org/10.5281/zenodo.4501273
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Ancillary activities
No ancillary activities
Cochez, M., Alivanistos, D., Arakelyan, E., Berrendorf, M., Daza, D., Galkin, M., Minervini, P., Niepert, M., & Ren, H. (2023). Approximate Answering of Graph Queries. In P. Hitzler, M. K. Sarker, & A. Eberhart (Eds.), Compendium of Neurosymbolic Artificial Intelligence (pp. 373-386). (Frontiers in Artificial Intelligence and Applications; Vol. 369). IOS Press.