| Impact of weather conditions and built environment on public bikesharing trips in Beijing P Lin, J Weng, Q Liang, D Alivanistos, S Ma Networks and spatial economics 20, 1-17, 2020 | 52 | 2020 |
| Prompting as probing: Using language models for knowledge base construction D Alivanistos, SB Santamaría, M Cochez, JC Kalo, E van Krieken, ... arXiv preprint arXiv:2208.11057, 2022 | 38 | 2022 |
| Revealing spatio-temporal patterns and influencing factors of dockless bike sharing demand P Lin, J Weng, S Hu, D Alivanistos, X Li, B Yin Ieee Access 8, 66139-66149, 2020 | 37 | 2020 |
| Query embedding on hyper-relational knowledge graphs D Alivanistos, M Berrendorf, M Cochez, M Galkin arXiv preprint arXiv:2106.08166, 2021 | 22 | 2021 |
| Study on the topology and dynamics of the rail transit network based on automatic fare collection data P Lin, J Weng, Y Fu, D Alivanistos, B Yin Physica A: Statistical Mechanics and its Applications 545, 123538, 2020 | 22 | 2020 |
| Identifying and segmenting commuting behavior patterns based on smart card data and travel survey data P Lin, J Weng, D Alivanistos, S Ma, B Yin Sustainability 12 (12), 5010, 2020 | 19 | 2020 |
| Bus passenger flow congestion risk evaluation model based on the pressure-state-response framework: A case study in Beijing S Ma, J Weng, C Wang, D Alivanistos, P Lin Science progress 103 (1), 0036850419883567, 2020 | 5 | 2020 |
| Approximate knowledge graph query answering: from ranking to binary classification R van Bakel, T Aleksiev, D Daza, D Alivanistos, M Cochez Graph Structures for Knowledge Representation and Reasoning: 6th …, 2021 | 4 | 2021 |
| BioBLP: a modular framework for learning on multimodal biomedical knowledge graphs D Daza, D Alivanistos, P Mitra, T Pijnenburg, M Cochez, P Groth Journal of Biomedical Semantics 14 (1), 20, 2023 | 1 | 2023 |
| Approximate answering of graph queries M Cochez, D Alivanistos, E Arakelyan, M Berrendorf, D Daza, M Galkin, ... arXiv preprint arXiv:2308.06585, 2023 | 1 | 2023 |
| Potential Energy to Improve Link Prediction With Relational Graph Neural Networks. S Colombo, D Alivanistos, M Cochez AAAI Spring Symposium: MAKE, 2022 | 1 | 2022 |
| Approximate Query Answering with Neural Query Embedding Methods D Daza, D Alivanistos, M Cochez Proceedings of the 6th Annual RELX Search Summit, 2022 | | 2022 |
Michael CochezAssistant Professor, Vrije Universiteit AmsterdamVerified email at vu.nl
