Showing 1–20 of 24 results
/ Date/ Name
Jan 13, 2021Leveraging Structured Biological Knowledge for Counterfactual Inference: a Case Study of Viral PathogenesisJul 28, 2020PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph EmbeddingsSep 23, 2025Teaching RDM in a smart advanced inorganic lab course and its provision in the DALIA platformJan 28, 2020The KEEN Universe: An Ecosystem for Knowledge Graph Embeddings with a Focus on Reproducibility and TransferabilityMar 3, 2022An Open Challenge for Inductive Link Prediction on Knowledge GraphsJun 15, 2020The role of metadata in reproducible computational researchJun 23, 2020Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified FrameworkFeb 10, 2022ChemicalX: A Deep Learning Library for Drug Pair ScoringMar 14, 2022A Unified Framework for Rank-based Evaluation Metrics for Link Prediction in Knowledge GraphsAug 5, 2025Causal identification with $Y_0$Jul 23, 2025Improving reproducibility of cheminformatics workflows with chembl-downloaderDec 27, 2022Democratising Knowledge Representation with BioCypherJun 10, 2025The Cell Ontology in the age of single-cell omicsOct 24, 2022Experimental design for causal query estimation in partially observed biomolecular networksJul 5, 2022Ontology Development Kit: a toolkit for building, maintaining, and standardising biomedical ontologiesMay 17, 2021Understanding the Performance of Knowledge Graph Embeddings in Drug DiscoveryJul 11, 2023An Open-Source Knowledge Graph Ecosystem for the Life SciencesFeb 12, 2021Do-calculus enables estimation of causal effects in partially observed biomolecular pathwaysFeb 19, 2021A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph PerspectiveFeb 2, 2025More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research