Approximate Knowledge Graph Query Answering: From Ranking to Binary Classification. - Ruud van Bakel; Teodor Aleksiev; Daniel Daza; Dimitrios Alivanistos; Michael Cochez (GKR, 2020)

Revealing Spatio-Temporal Patterns and Influencing Factors of Dockless Bike Sharing Demand. - Pengfei Lin; Jian-cheng Weng; Song Hu; Dimitrios Alivanistos; Xin Li; Baocai Yin (IEEE Access, 2020)

Potential Energy to Improve Link Prediction With Relational Graph Neural Networks. - Simone Colombo 003; Dimitrios Alivanistos; Michael Cochez (AAAI Spring Symposium: MAKE, 2022)

Query Embedding on Hyper-Relational Knowledge Graphs. - Dimitrios Alivanistos; Max Berrendorf; Michael Cochez; Mikhail Galkin 001 (ICLR, 2022)

Prompting as Probing: Using Language Models for Knowledge Base Construction. - Dimitrios Alivanistos; Selene Baez Santamaría; Michael Cochez; Jan-Christoph Kalo; Emile van Krieken; Thiviyan Thanapalasingam (LM-KBC@ISWC, 2022)

Approximate Answering of Graph Queries. - Michael Cochez; Dimitrios Alivanistos; Erik Arakelyan; Max Berrendorf; Daniel Daza; Mikhail Galkin 001; Pasquale Minervini; Mathias Niepert; Hongyu Ren (CoRR, 2023)

Approximate Answering of Graph Queries. - Michael Cochez; Dimitrios Alivanistos; Erik Arakelyan; Max Berrendorf; Daniel Daza; Mikhail Galkin 001; Pasquale Minervini; Mathias Niepert; Hongyu Ren (Compendium of Neurosymbolic Artificial Intelligence, 2023)

BioBLP: a modular framework for learning on multimodal biomedical knowledge graphs. - Daniel Daza; Dimitrios Alivanistos; Payal Mitra; Thom Pijnenburg; Michael Cochez; Paul Groth (J. Biomed. Semant., 2023)

The Effect of Knowledge Graph Schema on Classifying Future Research Suggestions. - Dimitrios Alivanistos; Seth van der Bijl; Michael Cochez; Frank van Harmelen (NSLP, 2024)

Automatic Evaluation Metrics for Artificially Generated Scientific Research. - Niklas Höpner; Leon Eshuijs; Dimitrios Alivanistos; Giacomo Zamprogno; Ilaria Tiddi (CoRR, 2025)