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The KEEN Universe - An Ecosystem for Knowledge Graph Embeddings with a Focus on Reproducibility and Transferability., , , and . ISWC (2), volume 11779 of Lecture Notes in Computer Science, page 3-18. Springer, (2019)PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings., , , , , , and . J. Mach. Learn. Res., (2021)Identifying the parametric occurrence of multiple steady states for some biological networks., , , , , , , , , and 1 other author(s). J. Symb. Comput., (2020)RatVec: A General Approach for Low-dimensional Distributed Vector Representations via Rational Kernels., , , , and . LWDA, volume 2454 of CEUR Workshop Proceedings, page 74-78. CEUR-WS.org, (2019)GuiltyTargets: Prioritization of Novel Therapeutic Targets With Network Representation Learning., , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 19 (1): 491-500 (2022)Predicting Missing Links Using PyKEEN., , , and . ISWC Satellites, volume 2456 of CEUR Workshop Proceedings, page 245-248. CEUR-WS.org, (2019)BEL2ABM: agent-based simulation of static models in Biological Expression Language., , and . Bioinformatics, 34 (13): 2316-2318 (2018)Re-curation and rational enrichment of knowledge graphs in Biological Expression Language., , , , , , , , , and 1 other author(s). Database, (2019)BioKEEN: a library for learning and evaluating biological knowledge graph embeddings., , , , and . Bioinformatics, 35 (18): 3538-3540 (2019)PathMe: merging and exploring mechanistic pathway knowledge., , , , and . BMC Bioinformatics, 20 (1): 243:1-243:12 (2019)