| Classifying developers into core and peripheral: An empirical study on count and network metrics M Joblin, S Apel, C Hunsen, W Mauerer 2017 IEEE/ACM 39th International Conference on Software Engineering (ICSE …, 2017 | 147 | 2017 |
| Tlogic: Temporal logical rules for explainable link forecasting on temporal knowledge graphs Y Liu, Y Ma, M Hildebrandt, M Joblin, V Tresp Proceedings of the AAAI conference on artificial intelligence 36 (4), 4120-4127, 2022 | 133 | 2022 |
| From developer networks to verified communities: A fine-grained approach M Joblin, W Mauerer, S Apel, J Siegmund, D Riehle 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering 1 …, 2015 | 102 | 2015 |
| Evolutionary trends of developer coordination: A network approach M Joblin, S Apel, W Mauerer Empirical Software Engineering 22, 2050-2094, 2017 | 73 | 2017 |
| Neural multi-hop reasoning with logical rules on biomedical knowledge graphs Y Liu, M Hildebrandt, M Joblin, M Ringsquandl, R Raissouni, V Tresp The Semantic Web: 18th International Conference, ESWC 2021, Virtual Event …, 2021 | 60 | 2021 |
| Reasoning on knowledge graphs with debate dynamics M Hildebrandt, JAQ Serna, Y Ma, M Ringsquandl, M Joblin, V Tresp Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4123-4131, 2020 | 59 | 2020 |
| A recommender system for complex real-world applications with nonlinear dependencies and knowledge graph context M Hildebrandt, SS Sunder, S Mogoreanu, M Joblin, A Mehta, I Thon, ... The Semantic Web: 16th International Conference, ESWC 2019, Portorož …, 2019 | 30 | 2019 |
| Power to the relational inductive bias: Graph neural networks in electrical power grids M Ringsquandl, H Sellami, M Hildebrandt, D Beyer, S Henselmeyer, ... Proceedings of the 30th ACM International Conference on Information …, 2021 | 27 | 2021 |
| In search of socio-technical congruence: A large-scale longitudinal study W Mauerer, M Joblin, DA Tamburri, C Paradis, R Kazman, S Apel IEEE Transactions on Software Engineering 48 (8), 3159-3184, 2021 | 24 | 2021 |
| How do successful and failed projects differ? a socio-technical analysis M Joblin, S Apel ACM Transactions on Software Engineering and Methodology (TOSEM) 31 (4), 1-24, 2022 | 23 | 2022 |
| Task-driven knowledge graph filtering improves prioritizing drugs for repurposing F Ratajczak, M Joblin, M Ringsquandl, M Hildebrandt BMC bioinformatics 23 (1), 84, 2022 | 17 | 2022 |
| Structural and evolutionary analysis of developer networks M Joblin Universität Passau, 2017 | 13 | 2017 |
| Synchronous development in open-source projects: A higher-level perspective T Bock, C Hunsen, M Joblin, S Apel Automated Software Engineering 29 (1), 3, 2022 | 11 | 2022 |
| Automatic core-developer identification on GitHub: a validation study T Bock, N Alznauer, M Joblin, S Apel ACM Transactions on Software Engineering and Methodology 32 (6), 1-29, 2023 | 10 | 2023 |
| On calibration of graph neural networks for node classification T Liu, Y Liu, M Hildebrandt, M Joblin, H Li, V Tresp 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 10 | 2022 |
| Hierarchical and hybrid organizational structures in open-source software projects: A longitudinal study M Joblin, B Eckl, T Bock, A Schmid, J Siegmund, S Apel ACM Transactions on Software Engineering and Methodology 32 (4), 1-29, 2023 | 9 | 2023 |
| Speos: an ensemble graph representation learning framework to predict core gene candidates for complex diseases F Ratajczak, M Joblin, M Hildebrandt, M Ringsquandl, P Falter-Braun, ... Nature Communications 14 (1), 7206, 2023 | 7 | 2023 |
| Learning domain-specific edit operations from model repositories with frequent subgraph mining C Tinnes, T Kehrer, M Joblin, U Hohenstein, A Biesdorf, S Apel 2021 36th IEEE/ACM International Conference on Automated Software …, 2021 | 6 | 2021 |
| Data-powered positive deviance during the SARS-CoV-2 pandemic—an ecological pilot study of German districts J Driesen, Z El-Khatib, N Wulkow, M Joblin, I Vasileva, A Gluecker, ... International Journal of Environmental Research and Public Health 18 (18), 9765, 2021 | 6 | 2021 |
| Demystifying graph neural network explanations A Himmelhuber, M Joblin, M Ringsquandl, T Runkler Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021 | 6 | 2021 |
