Charles Tapley Hoyt
Orcid: 0000-0003-4423-4370
According to our database1,
Charles Tapley Hoyt
authored at least 40 papers
between 2017 and 2023.
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Bibliography
2023
J. Cheminformatics, December, 2023
Bioinform., April, 2023
Optimal adjustment sets for causal query estimation in partially observed biomolecular networks.
Bioinform., 2023
A simple standard for ontological mappings 2023: updates on data model, collaborations and tooling.
Proceedings of the 18th International Workshop on Ontology Matching co-located with the 22nd International Semantic Web Conference (ISWC 2023), 2023
2022
GuiltyTargets: Prioritization of Novel Therapeutic Targets With Network Representation Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Bringing Light Into the Dark: A Large-Scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework.
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Ontology Development Kit: a toolkit for building, maintaining, and standardising biomedical ontologies.
CoRR, 2022
A Unified Framework for Rank-based Evaluation Metrics for Link Prediction in Knowledge Graphs.
CoRR, 2022
STonKGs: a sophisticated transformer trained on biomedical text and knowledge graphs.
Bioinform., 2022
Ontology Development Kit: a toolkit for building, maintaining and standardizing biomedical ontologies.
Database J. Biol. Databases Curation, 2022
Database J. Biol. Databases Curation, 2022
A review of biomedical datasets relating to drug discovery: a knowledge graph perspective.
Briefings Bioinform., 2022
ProtSTonKGs: A Sophisticated Transformer Trained on Protein Sequences, Text, and Knowledge Graphs.
Proceedings of the 13th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences, 2022
Proceedings of the 17th International Workshop on Ontology Matching (OM 2022) co-located with the 21th International Semantic Web Conference (ISWC 2022), 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
2021
Leveraging Structured Biological Knowledge for Counterfactual Inference: A Case Study of Viral Pathogenesis.
IEEE Trans. Big Data, 2021
J. Mach. Learn. Res., 2021
Bioinform., 2021
CLEP: a hybrid data- and knowledge-driven framework for generating patient representations.
Bioinform., 2021
2020
Identifying the parametric occurrence of multiple steady states for some biological networks.
J. Symb. Comput., 2020
PS4DR: a multimodal workflow for identification and prioritization of drugs based on pathway signatures.
BMC Bioinform., 2020
2019
PhD thesis, 2019
Quantifying mechanisms in neurodegenerative diseases (NDDs) using candidate mechanism perturbation amplitude (CMPA) algorithm.
BMC Bioinform., 2019
BioKEEN: a library for learning and evaluating biological knowledge graph embeddings.
Bioinform., 2019
Re-curation and rational enrichment of knowledge graphs in Biological Expression Language.
Database J. Biol. Databases Curation, 2019
The KEEN Universe - An Ecosystem for Knowledge Graph Embeddings with a Focus on Reproducibility and Transferability.
Proceedings of the Semantic Web - ISWC 2019, 2019
Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, 2019
RatVec: A General Approach for Low-dimensional Distributed Vector Representations via Rational Kernels.
Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", Berlin, Germany, September 30, 2019
2018
Bioinform., 2018
Bioinform., 2018
BEL Commons: an environment for exploration and analysis of networks encoded in Biological Expression Language.
Database J. Biol. Databases Curation, 2018
A systematic approach for identifying shared mechanisms in epilepsy and its comorbidities.
Database J. Biol. Databases Curation, 2018
2017
Proceedings of the 2017 ACM on International Symposium on Symbolic and Algebraic Computation, 2017