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Results: 116
Number of items: 116
  • Li, M., Zhang, P., Xing, W., Zheng, Y., Zaporojets, K., Chen, J., Zhang, R., Zhang, Y., Gong, S., Hu, J., Ma, X., Liu, Z., Groth, P., & Worring, M. (2026). A survey of large language models for data challenges in graphs. Expert Systems With Applications, 298, Article 129643. https://doi.org/10.1016/j.eswa.2025.129643
  • Open Access
    Li, X. (2026). From fine-tuning to prompting: A paradigm shift in knowledge graph construction. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Allen, B. (2026). Neurosymbolic knowledge engineering with natural language. [Thesis, fully internal, Universiteit van Amsterdam].
  • Liberatore, T., & Groth, P. T. (2025). FashionDB [Data set]. Hugging Face. https://doi.org/10.57967/hf/6494
  • Open Access
    Liberatore, T., Groth, P., Kackovic, M., & Wijnberg, N. (2025). Influence Beyond Similarity: A Contrastive Learning Approach to Object Influence Retrieval. In M. Alam, M. Rospocher, M. van Erp, L. Hollink, & G. Asefa Gesese (Eds.), Knowledge Engineering and Knowledge Management: 24th International Conference, EKAW 2024, Amsterdam, The Netherlands, November 26–28, 2024 : proceedings (pp. 35-52). (Lecture Notes in Computer Science; Vol. 15370), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-031-77792-9_3
  • Open Access
    Karabulut, E., Groth, P., & Degeler, V. (2025). PyAerial: Scalable association rule mining from tabular data. SoftwareX, 31, Article 102341. https://doi.org/10.1016/j.softx.2025.102341
  • Open Access
    Li, X., & Groth, P. (2025). How different is different? Systematically identifying distribution shifts and their impacts in NER datasets. Language Resources and Evaluation, 59(2), 1111-1150. https://doi.org/10.1007/s10579-024-09754-8
  • Open Access
    Borgman, C. L., & Groth, P. (2025). From Data Creator to Data Reuser: Distance Matters. Harvard Data Science Review, 7(2). https://doi.org/10.1162/99608f92.35d32cfc
  • Open Access
    Nevin, J., Zhang, P., Dimitrov, D., Lees, M., Groth, P., & Dietze, S. (2025). Understanding the Impact of Entity Linking on the Topology of Entity Co-occurrence Networks for Social Media Analysis. In M. Alam, M. Rospocher, M. V. Erp, L. Hollink, & G. A. Gesese (Eds.), Knowledge Engineering and Knowledge Management: 24th International Conference, EKAW 2024, Amsterdam, The Netherlands, November 26–28, 2024 : proceedings (pp. 69–85). (Lecture Notes in Artificial Intelligence; Vol. 15370). Springer. https://doi.org/10.1007/978-3-031-77792-9_5
  • 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
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