| Knowledge graphs A Hogan, E Blomqvist, M Cochez, C d'Amato, G Melo, C Gutierrez, ... Synthesis Lectures on Data, Semantics, and Knowledge 12 (2), 1-257, 2021 | 2044 | 2021 |
| Deep learning-based clustering approaches for bioinformatics MR Karim, O Beyan, A Zappa, IG Costa, D Rebholz-Schuhmann, ... Briefings in bioinformatics 22 (1), 393-415, 2021 | 315 | 2021 |
| Knowledge graphs A Hogan, E Blomqvist, M Cochez, C d’Amato, GD Melo, C Gutierrez, ... ACM Computing Surveys (CSUR) 54 (4), 1-37, 2021 | 290* | 2021 |
| DeepCOVIDExplainer: Explainable COVID-19 Diagnosis from Chest X-ray Images MR Karim, T Döhmen, M Cochez, O Beyan, D Rebholz-Schuhmann, ... 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020 | 225* | 2020 |
| Knowledge graphs: New directions for knowledge representation on the semantic web (dagstuhl seminar 18371) PA Bonatti, S Decker, A Polleres, V Presutti Dagstuhl reports 8 (9), 29-111, 2019 | 210 | 2019 |
| Complex Query Answering with Neural Link Predictors E Arakelyan, D Daza, P Minervini, M Cochez International Conference on Learning Representations (ICLR) 2021, 2020 | 162 | 2020 |
| Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network MR Karim, M Cochez, JB Jares, M Uddin, O Beyan, S Decker Proceedings of the 10th ACM International Conference on Bioinformatics …, 2019 | 157 | 2019 |
| Inductive Entity Representations from Text via Link Prediction D Daza, M Cochez, P Groth Proceedings of the Web Conference 2021, 798-808, 2021 | 130 | 2021 |
| Global RDF vector space embeddings M Cochez, P Ristoski, SP Ponzetto, H Paulheim The Semantic Web–ISWC 2017: 16th International Semantic Web Conference …, 2017 | 112 | 2017 |
| Message Passing for Complex Question Answering over Knowledge Graphs S Vakulenko, JD Fernandez Garcia, A Polleres, M de Rijke, M Cochez Proceedings of the 28th ACM International Conference on Information and …, 2019 | 91 | 2019 |
| Classification benchmarks for under-resourced bengali language based on multichannel convolutional-LSTM network MR Karim, BR Chakravarthi, JP McCrae, M Cochez 2020 IEEE 7th International Conference on Data Science and Advanced …, 2020 | 81 | 2020 |
| Biased graph walks for RDF graph embeddings M Cochez, P Ristoski, SP Ponzetto, H Paulheim Proceedings of the 7th International Conference on Web Intelligence, Mining …, 2017 | 77 | 2017 |
| Mining maximal frequent patterns in transactional databases and dynamic data streams: A spark-based approach MR Karim, M Cochez, OD Beyan, CF Ahmed, S Decker Information Sciences 432, 278-300, 2018 | 75 | 2018 |
| Explainable AI for Bioinformatics: Methods, Tools, and Applications MR Karim, T Islam, O Beyan, C Lange, M Cochez, D Rebholz-Schuhmann, ... arXiv preprint arXiv:2212.13261, 2022 | 74 | 2022 |
| 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 | 61 | 2022 |
| DeepKneeExplainer: Explainable Knee Osteoarthritis Diagnosis From Radiographs and Magnetic Resonance Imaging MR Karim, J Jiao, T Döhmen, M Cochez, O Beyan, ... IEEE Access 9, 39757-39780, 2021 | 53 | 2021 |
| Anomaly Detection Algorithms for the Sleeping Cell Detection in LTE Networks S Chernov, M Cochez, T Ristaniemi 81st Vehicular Technology Conference (VTC Spring), 2015 | 49 | 2015 |
| Where to Park? Predicting Free Parking Spots in Unmonitored City Areas A Ionita, A Pomp, M Cochez, T Meisen, S Decker Proceedings of the 8th International Conference on Web Intelligence, Mining …, 2018 | 43 | 2018 |
| Challenges and confusions in learning version control with git V Isomöttönen, M Cochez Information and Communication Technologies in Education, Research, and …, 2014 | 42 | 2014 |
| Message Passing Query Embedding D Daza, M Cochez Graph Representation Learning and Beyond (GRL+) ICML workshop, 2020 | 38* | 2020 |
Stefan DeckerFraunhofer FIT, RWTH Aachen University確認したメール アドレス: informatik.rwth-aachen.de