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Results: 10
Number of items: 10
  • Open Access
    Karabulut, E., Daza, D., Groth, P., & Degeler, V. (2025). Discovering Association Rules in High-Dimensional Small Tabular Data. In A. Agiollo, E. Bardhi, G. Ciatto, S. Dumancic, & G. Marra (Eds.), Proceedings of the 1st International Workshop on Advanced Neuro-Symbolic Applications: co-located with the 28th European Conference on Artificial Intelligence (ECAI 2025) : Bologna, Italy, October 26, 2025 (pp. 105-113). (CEUR Workshop Proceedings; Vol. 4125). CEUR-WS. https://ceur-ws.org/Vol-4125/paper_26.pdf
  • Open Access
    Younesian, T., Daza, D., van Krieken, E., Thanapalasingam, T., & Bloem, P. (2025). GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks. Transactions on Machine Learning Research, 2025, Article 3923. https://doi.org/10.48550/arXiv.2310.03399
  • Open Access
    Hu, Q., Daza, D., Swinkels, L., Ūsaitė, K., 't 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
  • Open Access
    Arakelyan, E., Minervini, P., Daza, D., Cochez, M., & Augenstein, I. (2023). Adapting Neural Link Predictors for Data-Efficient Complex Query Answering. In A. Oh, T. Naumann, A. Globerson, K. Saenko, M. Hardt, & S. Levine (Eds.), 37th Conference on Neural Information Processing Systems (NeurIPS 2023): 10-16 December 2023, New Orleans, Louisana, USA (Advances in Neural Information Processing Systems; Vol. 36). Neural Information Processing Systems Foundation. https://papers.nips.cc/paper_files/paper/2023/hash/55c518a17bd17dcb69aa14d69d085994-Abstract-Conference.html
  • Open Access
    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
  • Open Access
    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
  • Open Access
    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
  • Open Access
    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
  • Daza Cruz, D., Cochez, M., & Groth, P. (2021). Inductive WN18RR and FB15k-237 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.4501273
  • Open Access
    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
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