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Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS
Benchmarking table recognition performance on biomedical literature on neurological disorders
Combining Machine Learning and Simulation to a Hybrid Modelling Approach: Current and Future Directions
Predicting Missing Links Using PyKEEN
RatVec: A General Approach for Low-dimensional Distributed Vector Representations via Rational Kernels
A hybrid approach unveils drug repurposing candidates targeting an Alzheimer pathophysiology mechanism
Quantum Machine Learning. Eine Analyse zu Kompetenz, Forschung und Anwendung
BioKEEN: a library for learning and evaluating biological knowledge graph embeddings
CLEP: A hybrid data- and knowledge-driven framework for generating patient representations
Informed Machine Learning - A Taxonomy and Survey of Integrating Knowledge into Learning Systems
The KEEN Universe. An Ecosystem for Knowledge Graph Embeddings with a Focus on Reproducibility and Transferability