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Results: 121
Number of items: 121
  • Open Access
    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(A), 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
    Harper, C., & Groth, P. (2025). The Librarian Skillset and the Needs of Artificial Intelligence. Cataloging & Classification Quarterly, 63(6-7), 546-565. https://doi.org/10.1080/01639374.2025.2539787
  • 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
    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
    Li, X., Esposito, C. D., Groth, P., Sitruk, J., Szatmari, B., & Wijnberg, N. (2025). Evaluation of unsupervised static topic models’ emergence detection ability. PeerJ Computer Science, 11, Article 2875. https://doi.org/10.7717/peerj-cs.2875
  • Open Access
    Karabulut, E., Groth, P., & Degeler, V. (2025). Neurosymbolic Association Rule Mining from Tabular Data. Proceedings of Machine Learning Research, 284, 565-588. https://doi.org/10.48550/arXiv.2504.19354
  • Open Access
    Ayoughi, M., Mettes, P., & Groth, P. (2025). Minimizing Hyperbolic Embedding Distortion with LLM-Guided Hierarchy Restructuring. In K-CAP '25: Proceedings of the 13th Knowledge Capture Conference 2025 : Dayton, Ohio, USA (pp. 123-130). Association for Computing Machinery. https://doi.org/10.1145/3731443.3771357
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