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ORCIDDimitrios Alivanistos
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2020 – today
- 2024
[c5]Dimitrios Alivanistos
, Seth van der Bijl, Michael Cochez, Frank van Harmelen:
The Effect of Knowledge Graph Schema on Classifying Future Research Suggestions. NSLP 2024: 149-170- 2023
- [j2]Daniel Daza, Dimitrios Alivanistos, Payal Mitra, Thom Pijnenburg, Michael Cochez, Paul Groth:
BioBLP: a modular framework for learning on multimodal biomedical knowledge graphs. J. Biomed. Semant. 14(1): 20 (2023) - [p1]Michael Cochez, Dimitrios Alivanistos, Erik Arakelyan, Max Berrendorf, Daniel Daza, Mikhail Galkin, Pasquale Minervini, Mathias Niepert, Hongyu Ren:
Approximate Answering of Graph Queries. Compendium of Neurosymbolic Artificial Intelligence 2023: 373-386 - [i5]Daniel Daza, Dimitrios Alivanistos, Payal Mitra, Thom Pijnenburg, Michael Cochez, Paul Groth:
BioBLP: A Modular Framework for Learning on Multimodal Biomedical Knowledge Graphs. CoRR abs/2306.03606 (2023) - [i4]Michael Cochez, Dimitrios Alivanistos, Erik Arakelyan, Max Berrendorf, Daniel Daza, Mikhail Galkin, Pasquale Minervini, Mathias Niepert, Hongyu Ren:
Approximate Answering of Graph Queries. CoRR abs/2308.06585 (2023) - 2022
- [c4]Simone Colombo, Dimitrios Alivanistos, Michael Cochez:
Potential Energy to Improve Link Prediction With Relational Graph Neural Networks. AAAI Spring Symposium: MAKE 2022 - [c3]Dimitrios Alivanistos, Max Berrendorf, Michael Cochez, Mikhail Galkin:
Query Embedding on Hyper-Relational Knowledge Graphs. ICLR 2022 - [c2]Dimitrios Alivanistos, Selene Baez Santamaría, Michael Cochez, Jan-Christoph Kalo, Emile van Krieken, Thiviyan Thanapalasingam:
Prompting as Probing: Using Language Models for Knowledge Base Construction. LM-KBC@ISWC 2022: 11-34 - [i3]Dimitrios Alivanistos, Selene Baez Santamaría, Michael Cochez, Jan-Christoph Kalo, Emile van Krieken, Thiviyan Thanapalasingam:
Prompting as Probing: Using Language Models for Knowledge Base Construction. CoRR abs/2208.11057 (2022) - 2021
- [i2]Ruud van Bakel, Teodor Aleksiev, Daniel Daza, Dimitrios Alivanistos, Michael Cochez:
Approximate Knowledge Graph Query Answering: From Ranking to Binary Classification. CoRR abs/2102.11389 (2021) - [i1]Dimitrios Alivanistos, Max Berrendorf, Michael Cochez, Mikhail Galkin:
Query Embedding on Hyper-relational Knowledge Graphs. CoRR abs/2106.08166 (2021) - 2020
- [j1]Pengfei Lin, Jian-cheng Weng, Song Hu, Dimitrios Alivanistos, Xin Li, Baocai Yin:
Revealing Spatio-Temporal Patterns and Influencing Factors of Dockless Bike Sharing Demand. IEEE Access 8: 66139-66149 (2020) - [c1]Ruud van Bakel, Teodor Aleksiev, Daniel Daza, Dimitrios Alivanistos, Michael Cochez:
Approximate Knowledge Graph Query Answering: From Ranking to Binary Classification. GKR 2020: 107-124
Coauthor Index
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