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Dimitrios Alivanistos

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  • 4 Conference contribution
  • 1 Chapter
  • 1 Article

  • The Effect of Knowledge Graph Schema on Classifying Future Research Suggestions

    Alivanistos, D., van der Bijl, S., Cochez, M. & van Harmelen, F., 2024, Natural Scientific Language Processing and Research Knowledge Graphs: First International Workshop, NSLP 2024, Hersonissos, Crete, Greece, May 27, 2024, Proceedings. Rehm, G., Dietze, S., Schimmler, S. & Krüger, F. (eds.). Springer Science and Business Media Deutschland GmbH, p. 149-170 22 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14770 LNAI)( NSLP: International Workshop on Natural Scientific Language Processing and Research Knowledge Graphs Conference proceedings info; vol. 2024).

    Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

    Open Access

  • BioBLP: a modular framework for learning on multimodal biomedical knowledge graphs

    Daza, D., Alivanistos, D., Mitra, P., Pijnenburg, T., Cochez, M. & Groth, P., 1 Dec 2023, In: Journal of Biomedical Semantics. 14, 1, 20.

    Research output: Contribution to Journal › Article › Academic › peer-review

    Open Access

  • Approximate answering of graph queries

    Cochez, M., Alivanistos, D., Arakelyan, E., Berrendorf, M., Daza, D., Galkin, M., Minervini, P., Niepert, M. & Ren, H., 2023, Compendium of Neurosymbolic Artificial Intelligence. Hitzler, P., Eberhart, A. & Sarker, M. K. (eds.). IOS Press, p. 373-386 14 p. (Frontiers in Artificial Intelligence and Applications; vol. 369).

    Research output: Chapter in Book / Report / Conference proceeding › Chapter › Academic › peer-review

  • Potential Energy to Improve Link Prediction With Relational Graph Neural Networks

    Colombo, S., Alivanistos, D. & Cochez, M., 21 Mar 2022, AAAI-MAKE 2022 Machine Learning and Knowledge Engineering for Hybrid Intelligence 2022: Proceedings of the AAAI 2022 Spring Symposium on Machine Learning and Knowledge Engineering for Hybrid Intelligence (AAAI-MAKE 2022) Stanford University, Palo Alto, California, USA, March 21-23, 2022. Martin, A., Hinkelmann, K., Fill, H-G., Gerber, A., Lenat, D., Stolle, R. & van Harmelen, F. (eds.). CEUR-WS.org, p. 1-9 9 p. (CEUR Workshop Proceedings; vol. 3121).

    Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

    Open Access

  • Prompting as Probing: Using Language Models for Knowledge Base Construction

    Alivanistos, D., Santamaría, S. B., Cochez, M., Kalo, J. C., van Krieken, E. & Thanapalasingam, T., 2022, LM-KBC 2022 Knowledge Base Construction from Pre-trained Language Models 2022: Proceedings of the Semantic Web Challenge on Knowledge Base Construction from Pre-trained Language Models 2022 co-located with the 21st International Semantic Web Conference (ISWC2022) Virtual Event, Hanghzou, China, October 2022. Singhania, S., Nguyen, T-P. & Razniewski, S. (eds.). CEUR-WS.org, p. 11-34 24 p. (CEUR Workshop Proceedings; vol. 3274).

    Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

    Open Access
View all 6 research outputs