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Aleksandar Pavlovic

Aleksandar Pavlovic

TISS:Aleksandar Pavlovic
Room:HE0320
Phone:+43/1/58801/1922-25
Fax:+43/1/58801/18493
Email:

Publications

  1. The Knowledge Graph Divide: Connecting Machine Learning, Databases, and the Semantic Web
    Pavlovic, A. (2024). [Doctoral Thesis, TU Wien]. To Appear in reposiTUm.
  2. SpeedE: Euclidean Geometric Knowledge Graph Embedding Strikes Back
    Pavlovic, A. & Sallinger, E. (2024). In Findings of the North American Chapter of the Association for Computational Linguistics (NAACL 2024).
    [Paper]
  3. SparqLog: A System for Efficient Evaluation of SPARQL 1.1 Queries via Datalog
    Angles, R., Gottlob, G., Pavlovic, A., Pichler, R., & Sallinger, E. (2024). In Proceedings of the VLDB Endowment (VLDB 2024), 16(13), 4240-4253.
    [Paper]
  4. Raising the Efficiency of Knowledge Graph Embeddings While Respecting Logical Rules
    Pavlovic, A., & Sallinger, E. (2024). In Proceedings of the 16th Alberto Mendelzon International Workshop on Foundations of Data Management (AMW 2024).
  5. Expressive and Geometrically Interpretable Knowledge Graph Embedding
    Pavlovic, A., & Sallinger, E. (2024). In Proceedings of the First Austrian Symposium on AI, Robotics, and Vision (AIRoV 2024).
    [Paper]
  6. ExpressivE: A Spatio-Functional Embedding For Knowledge Graph Completion
    Pavlovic, A., & Sallinger, E. (2023). In Proceedings of the 11th International Conference on Learning Representations (ICLR 2023).
    [Paper]
  7. Building Bridges: Knowledge Graph Embeddings Respecting Logical Rules
    Pavlovic, A., & Sallinger, E. (2023). In Proceedings of the 15th Alberto Mendelzon International Workshop on Foundations of Data Management (AMW 2023).
    [Paper]
  8. Vadalog: Overview, Extensions and Business Applications
    Baldazzi, T., Bellomarini, L., Gerschberger, M., Jami, A., Magnanimi, D., Nissl, M., Pavlovic, A., & Sallinger, E. (2022). In 18th Reasoning Web Summer School.
    [Paper]
  9. Reasoning in Knowledge Graphs: Bridging Databases and the Semantic Web
    Pavlovic, A. (2020). [Diploma Thesis, TU Wien]. reposiTUm. [PDF]

Supervisions

  1. Selecting Rule Sets With ExpressivE
    Gail, D. (2024). [Diploma Thesis, TU Wien]. reposiTUm.
  2. Rule Mining on Knowledge Graph Embeddings: Making Implicit Knowledge Explicit and Explainable
    Vecera, J. (2024). [Diploma Thesis, TU Wien]. reposiTUm. [PDF]
  3. Reasoning in Financial Knowledge Graphs: Making Industry Sectors Accessible to AI
    Schüller, M. (2022). [Diploma Thesis, TU Wien]. reposiTUm. [PDF]
  4. Recursive Rule Injection in Knowledge Graphs: Exploiting Logical Knowledge in Machine Learning
    Wagner, F. K. M. (2021). [Diploma Thesis, TU Wien]. reposiTUm. [PDF]

Courses (2020 - 2024)

  1. Knowledge Graphs
  2. Advanced Database Systems
  3. Database Systems
  4. Semistructured Data

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