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  • 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 proceedingConference contributionAcademicpeer-review

    Open Access
  • Approximate Knowledge Graph Query Answering: From Ranking to Binary Classification

    van Bakel, R., Aleksiev, T., Daza, D., Alivanistos, D. & Cochez, M., 2021, Graph Structures for Knowledge Representation and Reasoning: 6th International Workshop, GKR 2020, Virtual Event, September 5, 2020, Revised Selected Papers. Cochez, M., Croitoru, M., Marquis, P. & Rudolph, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 107-124 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12640 LNAI).

    Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

    Open Access