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 | 78 | 2022 |
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 | 47 | 2021 |
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 | 7 | 2022 |
Timely: Improving labeling consistency in medical imaging for cell type classification Y Liu, MM Geipel, C Tietz, F Buettner Proceedings of the 24th European Conference on Artificial Intelligence, ECAI …, 2020 | 3 | 2020 |
Integrating logical rules into neural multi-hop reasoning for drug repurposing Y Liu, M Hildebrandt, M Joblin, M Ringsquandl, V Tresp Workshop Graph Representation Learning and Beyond, ICML 2020, 2020 | 3 | 2020 |
Learning individualized treatment rules with estimated translated inverse propensity score Z Wu, Y Yang, Y Ma, Y Liu, R Zhao, M Moor, V Tresp 2020 IEEE International Conference on Healthcare Informatics (ICHI), 1-11, 2020 | 2 | 2020 |
A Knowledge Graph Perspective on Supply Chain Resilience Y Liu, B He, M Hildebrandt, M Buchner, D Inzko, R Wernert, E Weigel, ... Workshop on Linked Data-Driven Resilience Research, ESWC 2023, 2023 | 1 | 2023 |
Rapid Explainability for Skill Description Learning. C Demir, A Himmelhuber, Y Liu, A Bigerl, D Moussallem, ACN Ngomo ISWC (Posters/Demos/Industry), 2022 | | 2022 |
Challenges for Achieving Supply Chain Resilience and Transparency within CoyPu AM Gómez, M Heß, P Ulrich, A Eckert, Y Liu, T Isinger, M Martin Workshop on Linked Data-Driven Resilience Research, Data Week Leipzig, 2022 | | 2022 |