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2020 – today
- 2023
[j7]Asan Agibetov
:
Neural graph embeddings as explicit low-rank matrix factorization for link prediction. Pattern Recognit. 133: 108977 (2023)- 2021
- [i9]Kathrin Blagec, Hong Xu, Asan Agibetov, Matthias Samwald:
Neural sentence embedding models for semantic similarity estimation in the biomedical domain. CoRR abs/2110.15708 (2021) - 2020
- [j6]Anna Breit, Simon Ott, Asan Agibetov, Matthias Samwald:
OpenBioLink: a benchmarking framework for large-scale biomedical link prediction. Bioinform. 36(13): 4097-4098 (2020) - [j5]Asan Agibetov, Matthias Samwald:
Benchmarking neural embeddings for link prediction in knowledge graphs under semantic and structural changes. J. Web Semant. 64: 100590 (2020) - [c12]Ernesto Jiménez-Ruiz, Asan Agibetov, Jiaoyan Chen, Matthias Samwald, Valerie Cross:
Dividing the Ontology Alignment Task with Semantic Embeddings and Logic-Based Modules. ECAI 2020: 784-791 - [i8]Ernesto Jiménez-Ruiz, Asan Agibetov, Jiaoyan Chen, Matthias Samwald, Valerie Cross:
Dividing the Ontology Alignment Task with Semantic Embeddings and Logic-based Modules. CoRR abs/2003.05370 (2020) - [i7]Asan Agibetov, Matthias Samwald:
Benchmarking neural embeddings for link prediction in knowledge graphs under semantic and structural changes. CoRR abs/2005.07654 (2020) - [i6]Asan Agibetov:
Graph embeddings via matrix factorization for link prediction: smoothing or truncating negatives? CoRR abs/2011.09907 (2020) - [i5]Simon Ott, Laura Graf, Asan Agibetov, Christian Meilicke, Matthias Samwald:
Scalable and interpretable rule-based link prediction for large heterogeneous knowledge graphs. CoRR abs/2012.05750 (2020)
2010 – 2019
- 2019
- [j4]Kathrin Blagec, Hong Xu, Asan Agibetov, Matthias Samwald:
Neural sentence embedding models for semantic similarity estimation in the biomedical domain. BMC Bioinform. 20(1): 178:1-178:10 (2019) - [c11]Asan Agibetov, Georg Dorffner, Matthias Samwald:
Using hyperbolic large-margin classifiers for biological link prediction. SemDeep@IJCAI 2019: 26-30 - [d2]Ernesto Jiménez-Ruiz, Asan Agibetov, Jiaoyan Chen, Matthias Samwald, Valerie Cross:
Dividing the Ontology Alignment Task. Zenodo, 2019
- [i4]Anna Breit, Asan Agibetov, Matthias Samwald:
OpenBioLink: A resource and benchmarking framework for large-scale biomedical link prediction. CoRR abs/1912.04616 (2019) - 2018
- [j3]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:
Supporting shared hypothesis testing in the biomedical domain. J. Biomed. Semant. 9(1): 9:1-9:22 (2018) - [j2]Asan Agibetov, Kathrin Blagec, Hong Xu, Matthias Samwald:
Fast and scalable neural embedding models for biomedical sentence classification. BMC Bioinform. 19(1): 541:1-541:9 (2018) - [c10]Asan Agibetov, Matthias Samwald:
Fast and Scalable Learning of Neuro-Symbolic Representations of Biomedical Knowledge. DL4KGS@ESWC 2018: 62-71 - [c9]Ernesto Jiménez-Ruiz, Asan Agibetov, Matthias Samwald, Valerie Cross:
We Divide, You Conquer: From Large-scale Ontology Alignment to Manageable Subtasks with a Lexical Index and Neural Embeddings. ISWC (P&D/Industry/BlueSky) 2018 - [c8]Ernesto Jiménez-Ruiz, Asan Agibetov, Matthias Samwald, Valerie Cross:
We divide, you conquer: from large-scale ontology alignment to manageable subtasks with a lexical index and neural embeddings. OM@ISWC 2018: 13-24 - [c7]Asan Agibetov, Matthias Samwald:
Global and Local Evaluation of Link Prediction Tasks with Neural Embeddings. Semdeep/NLIWoD@ISWC 2018: 89-102 - [d1]Ernesto Jiménez-Ruiz, Asan Agibetov, Jiaoyan Chen, Matthias Samwald, Valerie Cross:
Dividing the Ontology Alignment Task. Zenodo, 2018 - [i3]Asan Agibetov, Matthias Samwald:
Fast and scalable learning of neuro-symbolic representations of biomedical knowledge. CoRR abs/1804.11105 (2018) - [i2]Ernesto Jiménez-Ruiz, Asan Agibetov, Matthias Samwald, Valerie Cross:
Breaking-down the Ontology Alignment Task with a Lexical Index and Neural Embeddings. CoRR abs/1805.12402 (2018) - [i1]Asan Agibetov, Matthias Samwald:
Global and local evaluation of link prediction tasks with neural embeddings. CoRR abs/1807.10511 (2018) - 2016
- [j1]Imon Banerjee, Asan Agibetov, Chiara Eva Catalano, Giuseppe Patanè, Michela Spagnuolo:
Semantics-driven annotation of patient-specific 3D data: a step to assist diagnosis and treatment of rheumatoid arthritis. Vis. Comput. 32(10): 1337-1349 (2016) - [c6]Asan Agibetov, Karelia Elena Tecante Gutierrez, Chiara Eva Catalano, Giuseppe Patanè, Christof Hurschler, Michela Spagnuolo:
GaitViewer: Semantic Gait Data Analysis and Visualization Tool. KDWeb 2016 - 2015
- [c5]Imon Banerjee, Asan Agibetov, Chiara Eva Catalano, Giuseppe Patanè, Michela Spagnuolo:
Semantic Annotation of Patient-Specific 3D Anatomical Models. CW 2015: 22-29 - [c4]Asan Agibetov, Giuseppe Patanè, Michela Spagnuolo:
Grontocrawler: Graph-Based Ontology Exploration. STAG 2015: 67-76 - [c3]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:
A Semantically Adaptable Integrated Visualization and Natural Exploration of Multi-scale Biomedical Data. IV 2015: 543-552 - [c2]Asan Agibetov, Ernesto Jiménez-Ruiz, Alessandro Solimando, Giovanna Guerrini, Giuseppe Patanè, Michela Spagnuolo:
Towards Shared Hypothesis Testing in the Biomedical Domain. SWAT4LS 2015: 33-37 - 2014
- [c1]Asan Agibetov, Ricardo Manuel Millán Vaquero, Karl-Ingo Friese, Giuseppe Patanè, Michela Spagnuolo, Franz-Erich Wolter:
Integrated Visualization and Analysis of a Multi-scale Biomedical Knowledge Space. EuroVA@EuroVis 2014
Coauthor Index
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