Dimitrios Alivanistos

According to our database, Dimitrios Alivanistos authored at least 8 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., December, 2023

Approximate Answering of Graph Queries.

Michael Cochez, Dimitrios Alivanistos, Erik Arakelyan, Max Berrendorf, Daniel Daza, Mikhail Galkin, Pasquale Minervini, Mathias Niepert, Hongyu Ren

Proceedings of the Compendium of Neurosymbolic Artificial Intelligence, 2023

Approximate Answering of Graph Queries.

Michael Cochez, Dimitrios Alivanistos, Erik Arakelyan, Max Berrendorf, Daniel Daza, Mikhail Galkin, Pasquale Minervini, Mathias Niepert, Hongyu Ren

CoRR, 2023

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

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), 2022

Query Embedding on Hyper-Relational Knowledge Graphs.

Dimitrios Alivanistos, Max Berrendorf, Michael Cochez, Mikhail Galkin

Proceedings of the Tenth International Conference on Learning Representations, 2022

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

Simone Colombo, Dimitrios Alivanistos, Michael Cochez

Proceedings of the AAAI 2022 Spring Symposium on Machine Learning and Knowledge Engineering for Hybrid Intelligence (AAAI-MAKE 2022), 2022

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

Approximate Knowledge Graph Query Answering: From Ranking to Binary Classification.

Ruud van Bakel, Teodor Aleksiev, Daniel Daza, Dimitrios Alivanistos, Michael Cochez

Proceedings of the Graph Structures for Knowledge Representation and Reasoning, 2020