Integrated Visualization and Analysis of a Multi-scale Biomedical Knowledge Space. - Asan Agibetov; Ricardo Manuel Millán Vaquero; Karl-Ingo Friese; Giuseppe Patanè 001; Michela Spagnuolo; Franz-Erich Wolter (EuroVA@EuroVis, 2014)

Semantic Annotation of Patient-Specific 3D Anatomical Models. - Imon Banerjee; Asan Agibetov; Chiara Eva Catalano; Giuseppe Patanè 001; Michela Spagnuolo (CW, 2015)

Grontocrawler: Graph-Based Ontology Exploration. - Asan Agibetov; Giuseppe Patanè 001; Michela Spagnuolo (STAG, 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 001; Karl-Ingo Friese; Rui Luís Reis; Michela Spagnuolo; Franz-Erich Wolter (IV, 2015)

Towards Shared Hypothesis Testing in the Biomedical Domain. - Asan Agibetov; Ernesto Jiménez-Ruiz; Alessandro Solimando; Giovanna Guerrini; Giuseppe Patanè 001; Michela Spagnuolo (SWAT4LS, 2015)

GaitViewer: Semantic Gait Data Analysis and Visualization Tool. - Asan Agibetov; Karelia Elena Tecante Gutierrez; Chiara Eva Catalano; Giuseppe Patanè 001; Christof Hurschler; Michela Spagnuolo (KDWeb, 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 001; Michela Spagnuolo (Vis. Comput., 2016)

Fast and Scalable Learning of Neuro-Symbolic Representations of Biomedical Knowledge. - Asan Agibetov; Matthias Samwald (DL4KGS@ESWC, 2018)

Global and Local Evaluation of Link Prediction Tasks with Neural Embeddings. - Asan Agibetov; Matthias Samwald (Semdeep/NLIWoD@ISWC, 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 (OM@ISWC, 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 001; Rui Luís Reis; Michela Spagnuolo (J. Biomed. Semant., 2018)

Fast and scalable neural embedding models for biomedical sentence classification. - Asan Agibetov; Kathrin Blagec; Hong Xu 016; Matthias Samwald (BMC Bioinform., 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)

Dividing the Ontology Alignment Task. - Ernesto Jiménez-Ruiz; Asan Agibetov; Jiaoyan Chen 001; Matthias Samwald; Valerie Cross (Zenodo, 2018)

Using hyperbolic large-margin classifiers for biological link prediction. - Asan Agibetov; Georg Dorffner; Matthias Samwald (SemDeep@IJCAI, 2019)

Neural sentence embedding models for semantic similarity estimation in the biomedical domain. - Kathrin Blagec; Hong Xu 016; Asan Agibetov; Matthias Samwald (BMC Bioinform., 2019)

OpenBioLink: A resource and benchmarking framework for large-scale biomedical link prediction. - Anna Breit; Asan Agibetov; Matthias Samwald (CoRR, 2019)

Dividing the Ontology Alignment Task. - Ernesto Jiménez-Ruiz; Asan Agibetov; Jiaoyan Chen 001; Matthias Samwald; Valerie Cross (Zenodo, 2019)

Dividing the Ontology Alignment Task with Semantic Embeddings and Logic-Based Modules. - Ernesto Jiménez-Ruiz; Asan Agibetov; Jiaoyan Chen 001; Matthias Samwald; Valerie Cross (ECAI, 2020)

OpenBioLink: a benchmarking framework for large-scale biomedical link prediction. - Anna Breit; Simon Ott; Asan Agibetov; Matthias Samwald (Bioinform., 2020)

Graph embeddings via matrix factorization for link prediction: smoothing or truncating negatives? - Asan Agibetov (CoRR, 2020)

Scalable and interpretable rule-based link prediction for large heterogeneous knowledge graphs. - Simon Ott; Laura Graf 002; Asan Agibetov; Christian Meilicke; Matthias Samwald (CoRR, 2020)

Benchmarking neural embeddings for link prediction in knowledge graphs under semantic and structural changes. - Asan Agibetov; Matthias Samwald (J. Web Semant., 2020)

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