Asan Agibetov

According to our database, Asan Agibetov authored at least 24 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Neural graph embeddings as explicit low-rank matrix factorization for link prediction.

Asan Agibetov

Pattern Recognit., 2023

2020

Benchmarking neural embeddings for link prediction in knowledge graphs under semantic and structural changes.

Asan Agibetov, Matthias Samwald

J. Web Semant., 2020

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

Simon Ott, Laura Graf, Asan Agibetov, Christian Meilicke, Matthias Samwald

CoRR, 2020

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

Asan Agibetov

CoRR, 2020

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

Anna Breit, Simon Ott, Asan Agibetov, Matthias Samwald

Bioinform., 2020

Dividing the Ontology Alignment Task with Semantic Embeddings and Logic-Based Modules.

Ernesto Jiménez-Ruiz, Asan Agibetov, Jiaoyan Chen, Matthias Samwald, Valerie Cross

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

Dividing the Ontology Alignment Task.

Ernesto Jiménez-Ruiz, Asan Agibetov, Jiaoyan Chen, Matthias Samwald, Valerie Cross

Dataset, November, 2019

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

Anna Breit, Asan Agibetov, Matthias Samwald

CoRR, 2019

Neural sentence embedding models for semantic similarity estimation in the biomedical domain.

Kathrin Blagec, Hong Xu, Asan Agibetov, Matthias Samwald

BMC Bioinform., 2019

Using hyperbolic large-margin classifiers for biological link prediction.

Asan Agibetov, Georg Dorffner, Matthias Samwald

Proceedings of the 5th Workshop on Semantic Deep Learning, 2019

2018

Dividing the Ontology Alignment Task.

Ernesto Jiménez-Ruiz, Asan Agibetov, Jiaoyan Chen, Matthias Samwald, Valerie Cross

Dataset, April, 2018

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

Ernesto Jiménez-Ruiz, Asan Agibetov, Matthias Samwald, Valerie Cross

CoRR, 2018

Fast and scalable neural embedding models for biomedical sentence classification.

Asan Agibetov, Kathrin Blagec, Hong Xu, Matthias Samwald

BMC Bioinform., 2018

Supporting shared hypothesis testing in the biomedical domain.

Asan Agibetov, Ernesto Jiménez-Ruiz, Marta Ondresik, Alessandro Solimando, Imon Banerjee, Giovanna Guerrini, Chiara Eva Catalano, Joaquim Miguel Oliveira, Giuseppe Patanè, Rui Luís Reis, Michela Spagnuolo

J. Biomed. Semant., 2018

We divide, you conquer: from large-scale ontology alignment to manageable subtasks with a lexical index and neural embeddings.

Ernesto Jiménez-Ruiz, Asan Agibetov, Matthias Samwald, Valerie Cross

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.

Asan Agibetov, Matthias Samwald

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.

Asan Agibetov, Matthias Samwald

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.

Imon Banerjee, Asan Agibetov, Chiara Eva Catalano, Giuseppe Patanè, Michela Spagnuolo

Vis. Comput., 2016

GaitViewer: Semantic Gait Data Analysis and Visualization Tool.

Asan Agibetov, Karelia Elena Tecante Gutierrez, Chiara Eva Catalano, Giuseppe Patanè, Christof Hurschler, Michela Spagnuolo

Proceedings of the 2nd International Workshop on Knowledge Discovery on the WEB, 2016

2015

Towards Shared Hypothesis Testing in the Biomedical Domain.

Asan Agibetov, Ernesto Jiménez-Ruiz, Alessandro Solimando, Giovanna Guerrini, Giuseppe Patanè, Michela Spagnuolo

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.

Ricardo Manuel Millán Vaquero, Asan Agibetov, Jan Rzepecki, Marta Ondresik, Alexander Vais, Joaquim Miguel Oliveira, Giuseppe Patanè, Karl-Ingo Friese, Rui Luís Reis, Michela Spagnuolo, Franz-Erich Wolter

Proceedings of the 19th International Conference on Information Visualisation, 2015

Grontocrawler: Graph-Based Ontology Exploration.

Asan Agibetov, Giuseppe Patanè, Michela Spagnuolo

Proceedings of the Italian Chapter Conference 2015, 2015

Semantic Annotation of Patient-Specific 3D Anatomical Models.

Imon Banerjee, Asan Agibetov, Chiara Eva Catalano, Giuseppe Patanè, Michela Spagnuolo

Proceedings of the International Conference on Cyberworlds, 2015

2014

Integrated Visualization and Analysis of a Multi-scale Biomedical Knowledge Space.

Asan Agibetov, Ricardo Manuel Millán Vaquero, Karl-Ingo Friese, Giuseppe Patanè, Michela Spagnuolo, Franz-Erich Wolter

Proceedings of the 5th International EuroVis Workshop on Visual Analytics, 2014