Yushan Liu
Yushan Liu
Siemens AG, Ludwig Maximilian University Munich
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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
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
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
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
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
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
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
Rapid Explainability for Skill Description Learning.
C Demir, A Himmelhuber, Y Liu, A Bigerl, D Moussallem, ACN Ngomo
ISWC (Posters/Demos/Industry), 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
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