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Results: 116
Number of items: 116
  • Open Access
    Soiland-Reyes, S., Goble, C., & Groth, P. (2023). Evaluating FAIR Digital Object and Linked Data as distributed object systems. (v1 ed.) ArXiv. https://doi.org/10.48550/arXiv.2306.07436
  • Open Access
    Karabulut, E., Degeler, V., & Groth, P. (2023). Semantic Association Rule Learning from Time Series Data and Knowledge Graphs. ArXiv. https://doi.org/10.48550/arXiv.2310.07348
  • Open Access
    Dinh, T. A., den Boef, J., Cornelisse, J., & Groth, P. (2023). E2EG: End-to-End Node Classification Using Graph Topology and Text-based Node Attributes. In J. Wang, Y. He, T. N. Dinh, C. Grant, M. Qiu, & W. Pedrycz (Eds.), 23rd IEEE International Conference on Data Mining Workshops: 1-4 December 2023, Shanghai, China : proceedings (pp. 1084-1091). (ICDMW; Vol. 2023). IEEE Computer Society. https://doi.org/10.1109/ICDMW60847.2023.00142
  • Open Access
    Prieto, L., Den Boef, J., Groth, P., & Cornelisse, J. (2023). Parameter Efficient Node Classification on Homophilic Graphs. Transactions on Machine Learning Research, 2023, Article 640. https://openreview.net/forum?id=LIT8tjs6rJ
  • Open Access
    Grafberger, S., Groth, P., & Schelter, S. (2023). Automating and Optimizing Data-Centric What-If Analyses on Native Machine Learning Pipelines. Proceedings of the ACM on Management of Data, 1(2), Article 128. https://doi.org/10.1145/3589273
  • Open Access
    Tamašauskaitė, G., & Groth, P. (2023). Defining a Knowledge Graph Development Process Through a Systematic Review. ACM Transactions on Software Engineering and Methodology, 32(1), Article 27. https://doi.org/10.1145/3522586
  • Open Access
    Hulsebos, M., Demiralp, Ç., & Groth, P. (2023). GitTables: A Large-Scale Corpus of Relational Tables. Proceedings of the ACM on Management of Data, 1(1), Article 30. https://doi.org/10.1145/3588710
  • Open Access
    Grafberger, S., Groth, P., & Schelter, S. (2023). Provenance Tracking for End-to-End Machine Learning Pipelines. In The ACM Web Conference 2023: Companion of the World Wide Web Conference WWW 2023 : April 30-May 4, 2023, Austin, Texas, USA (pp. 1512). Association for Computing Machinery. https://doi.org/10.1145/3543873.3587557
  • Open Access
    Groth, P., Simperl, E., van Erp, M., & Vrandečić, D. (2023). Knowledge Graphs and their Role in the Knowledge Engineering of the 21st Century: report from Dagstuhl Seminar 22372. Dagstuhl Reports, 12(9), 60-120. https://doi.org/10.4230/DagRep.12.9.60
  • Nevin, J., Lees, M., & Groth, P. (2022). NIDMod - Network Integration and Diffusion Modeller [Data set]. GitHub. https://github.com/jim-g-n/nidmod
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