Asan Agibetov

Orcid: 0000-0003-0096-0143

According to our database1, Asan Agibetov authored at least 22 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Neural graph embeddings as explicit low-rank matrix factorization for link prediction.
Pattern Recognit., 2023

2020
Benchmarking neural embeddings for link prediction in knowledge graphs under semantic and structural changes.
J. Web Semant., 2020

Scalable and interpretable rule-based link prediction for large heterogeneous knowledge graphs.
CoRR, 2020

Graph embeddings via matrix factorization for link prediction: smoothing or truncating negatives?
CoRR, 2020

OpenBioLink: a benchmarking framework for large-scale biomedical link prediction.
Bioinform., 2020

Dividing the Ontology Alignment Task with Semantic Embeddings and Logic-Based Modules.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019
OpenBioLink: A resource and benchmarking framework for large-scale biomedical link prediction.
CoRR, 2019

Neural sentence embedding models for semantic similarity estimation in the biomedical domain.
BMC Bioinform., 2019

Using hyperbolic large-margin classifiers for biological link prediction.
Proceedings of the 5th Workshop on Semantic Deep Learning, 2019

2018
Breaking-down the Ontology Alignment Task with a Lexical Index and Neural Embeddings.
CoRR, 2018

Fast and scalable neural embedding models for biomedical sentence classification.
BMC Bioinform., 2018

Supporting shared hypothesis testing in the biomedical domain.
J. Biomed. Semant., 2018

We divide, you conquer: from large-scale ontology alignment to manageable subtasks with a lexical index and neural embeddings.
Proceedings of the 13th International Workshop on Ontology Matching co-located with the 17th International Semantic Web Conference, 2018

Global and Local Evaluation of Link Prediction Tasks with Neural Embeddings.
Proceedings of the Joint proceedings of the 4th Workshop on Semantic Deep Learning (SemDeep-4) and NLIWoD4: Natural Language Interfaces for the Web of Data (NLIWOD-4) and 9th Question Answering over Linked Data challenge (QALD-9) co-located with 17th International Semantic Web Conference (ISWC 2018), Monterey, California, United States of America, October 8th, 2018

Fast and Scalable Learning of Neuro-Symbolic Representations of Biomedical Knowledge.
Proceedings of the First Workshop on Deep Learning for Knowledge Graphs and Semantic Technologies (DL4KGS) co-located with the 15th Extended Semantic Web Conerence (ESWC 2018), 2018

2016
Semantics-driven annotation of patient-specific 3D data: a step to assist diagnosis and treatment of rheumatoid arthritis.
Vis. Comput., 2016

GaitViewer: Semantic Gait Data Analysis and Visualization Tool.
Proceedings of the 2nd International Workshop on Knowledge Discovery on the WEB, 2016

2015
Towards Shared Hypothesis Testing in the Biomedical Domain.
Proceedings of the 8th Semantic Web Applications and Tools for Life Sciences International Conference, 2015

A Semantically Adaptable Integrated Visualization and Natural Exploration of Multi-scale Biomedical Data.
Proceedings of the 19th International Conference on Information Visualisation, 2015

Grontocrawler: Graph-Based Ontology Exploration.
Proceedings of the Italian Chapter Conference 2015, 2015

Semantic Annotation of Patient-Specific 3D Anatomical Models.
Proceedings of the International Conference on Cyberworlds, 2015

2014
Integrated Visualization and Analysis of a Multi-scale Biomedical Knowledge Space.
Proceedings of the 5th International EuroVis Workshop on Visual Analytics, 2014


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