Marcel Hildebrandt
Marcel Hildebrandt
Siemens Technology, LMU
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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
Scene Graph Reasoning for Visual Question Answering
M Hildebrandt*, H Li*, R Koner*, V Tresp, S Günnemann
ICML 2020: GRL+, 2020
A statistical guide to the design of deep mutational scanning experiments
S Matuszewski*, M Hildebrandt*, AH Ghenu, JD Jensen, C Bank
Genetics 204 (1), 77-87, 2016
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
Reasoning on Knowledge Graphs with Debate Dynamics
M Hildebrandt*, JAQ Serna*, Y Ma, M Ringsquandl, M Joblin, V Tresp
AAAI 2020, 2020
Coalescent processes with skewed offspring distributions and nonequilibrium demography
S Matuszewski*, M Hildebrandt*, G Achaz, JD Jensen
Genetics 208 (1), 323-338, 2018
Graphhopper: Multi-hop Scene Graph Reasoning for Visual Question Answering
R Koner*, H Li*, M Hildebrandt*, D Das, V Tresp, S Günnemann
International Semantic Web Conference, 111-127, 2021
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
Event-enhanced learning for KG completion
M Ringsquandl, E Kharlamov, D Stepanova, M Hildebrandt, S Lamparter, ...
The Semantic Web: 15th International Conference, ESWC 2018, Heraklion, Crete …, 2018
Holistic Representations for Memorization and Inference
Y Ma, M Hildebrandt, V Tresp, S Baier
UAI, 403-413, 2018
Configuration of industrial automation solutions using multi-relational recommender systems
M Hildebrandt*, SS Sunder*, S Mogoreanu, I Thon, V Tresp, T Runkler
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018
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
Interpreting the pervasive observation of U-shaped Site Frequency Spectra
F Freund, E Kerdoncuff, S Matuszewski, M Lapierre, M Hildebrandt, ...
PLoS genetics 19 (3), e1010677, 2023
Task-driven knowledge graph filtering improves prioritizing drugs for repurposing
F Ratajczak, M Joblin, M Ringsquandl, M Hildebrandt
BMC bioinformatics 23 (1), 84, 2022
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
CDARL: a contrastive discriminator-augmented reinforcement learning framework for sequential recommendations
Z Liu, Y Ma, M Hildebrandt, Y Ouyang, Z Xiong
Knowledge and Information Systems 64 (8), 2239-2265, 2022
Learning through structure: towards deep neuromorphic knowledge graph embeddings
VC Chian*, M Hildebrandt*, T Runkler, D Dold*
2021 International Conference on Neuromorphic Computing (ICNC), 61-70, 2021
Neuro-symbolic computing with spiking neural networks
D Dold, J Soler Garrido, V Caceres Chian, M Hildebrandt, T Runkler
Proceedings of the International Conference on Neuromorphic Systems 2022, 1-4, 2022
Remaining Useful Life Estimation for Unknown Motors Using a Hybrid Modeling Approach
M Hildebrandt, M Khalil, C Bergs, V Tresp, R Wuchner, KU Bletzinger, ...
2019 IEEE 17th International Conference on Industrial Informatics (INDIN) 1 …, 2019
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
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Articles 1–20