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Results: 4
Number of items: 4
  • Open Access
    Soeteman, A., & ten Cate, B. (2025). Logical Expressiveness of Graph Neural Networks with Hierarchical Node Individualization. In D. Belgrave, C. Zhang, H. Lin, R. Pascanu, P. Koniusz, M. Ghassemi, & N. Chen (Eds.), 39th Annual Conference on Neural Information Processing Systems (NeurIPS 2025): 2-7 December 2025, San Diego, California, USA and 30 November-5 December 2025, Mexico City, Mexico (pp. 106978-107013). (Advances in Neural Information Processing Systems; Vol. 38). Neural Information Processing Systems Foundation. https://doi.org/10.52202/085713-3226
  • Open Access
    Soeteman, A., & van Lambalgen, M. (2024). Spatial unity for the apperception engine. International Journal of Approximate Reasoning, 165, Article 109106. https://doi.org/10.1016/j.ijar.2023.109106
  • Open Access
    Motamed, N., Soeteman, A., Rey, S., & Endriss, U. (2022). Participatory Budgeting with Multiple Resources. In D. Baumeister, & J. Rothe (Eds.), Multi-Agent Systems: 19th European Conference, EUMAS 2022, Düsseldorf, Germany, September 14–16, 2022 : proceedings (pp. 330-347). (Lecture Notes in Computer Science; Vol. 13442), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-031-20614-6_19
  • Soeteman, A., Gutierrez, D., Bruni, E., & Shutova, E. (2020). Modelling form-meaning systematicity with linguistic and visual features. In AAAI-20, IAAI-20, EAAI-20 proceedings: Thirty-Fourth AAAI Conference on Artificial Intelligence, Thirty-Second Conference on Innovative Applications of Artificial Intelligence, The Tenth Symposium on Educational Advances in Artificial Intelligence : February 7–12th, 2020, New York Hilton Midtown, New York, New York, USA (Vol. 5, pp. 8870-8877). (Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 34). AAAI Press. https://doi.org/10.1609/aaai.v34i05.6416
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