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Genet Asefa Gesese
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- affiliation: FIZ Karlsruhe - Leibniz Institute for Information Infrastructure, Karlsruhe, Germany
- affiliation (PhD 2023): Karlsruhe Institute of Technology, Germany
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2020 – today
- 2024
- [c11]Genet Asefa Gesese, Jörg Waitelonis, Zongxiong Chen, Sonja Schimmler, Harald Sack:
NFDI4DSO: Towards a BFO Compliant Ontology for Data Science. SEMANTiCS (Posters, Demos, Workshops & Tutorials) 2024 - [c10]Mehwish Alam
, Davide Buscaldi
Workshop on Deep Learning and Large Language Models for Knowledge Graphs (DL4KG). KDD 2024: 6704-6705 - [i6]Genet Asefa Gesese, Jörg Waitelonis, Zongxiong Chen, Sonja Schimmler, Harald Sack:
NFDI4DSO: Towards a BFO Compliant Ontology for Data Science. CoRR abs/2408.08698 (2024) - 2023
- [b1]Genet Asefa Gesese:
Leveraging literals for knowledge graph embeddings. Karlsruhe Institute of Technology, Germany, 2023 - 2022
- [j2]Cristian Santini, Genet Asefa Gesese
A knowledge graph embeddings based approach for author name disambiguation using literals. Scientometrics 127(8): 4887-4912 (2022) - [c9]Genet Asefa Gesese
RAILD: Towards Leveraging Relation Features for Inductive Link Prediction In Knowledge Graphs. IJCKG 2022: 82-90 - [i5]Cristian Santini, Genet Asefa Gesese, Silvio Peroni, Aldo Gangemi, Harald Sack, Mehwish Alam:
A Knowledge Graph Embeddings based Approach for Author Name Disambiguation using Literals. CoRR abs/2201.09555 (2022) - [i4]Genet Asefa Gesese, Harald Sack, Mehwish Alam:
RAILD: Towards Leveraging Relation Features for Inductive Link Prediction In Knowledge Graphs. CoRR abs/2211.11407 (2022) - 2021
- [j1]Genet Asefa Gesese
A survey on knowledge graph embeddings with literals: Which model links better literal-ly? Semantic Web 12(4): 617-647 (2021) - [c8]Rick Petzold, Genet Asefa Gesese, Viktoria Bogdanova, Thorsten Zylowski, Harald Sack, Mehwish Alam:
Challenges of Applying Knowledge Graph and their Embeddings to a Real-world Use-case. DL4KG@ISWC 2021 - [c7]Yiyi Chen, Genet Asefa Gesese, Harald Sack, Mehwish Alam:
Temporal Evolution of the Migration-related Topics on Social Media. ISWC (Posters/Demos/Industry) 2021 - [c6]Genet Asefa Gesese
LiterallyWikidata - A Benchmark for Knowledge Graph Completion Using Literals. ISWC 2021: 511-527 - [c5]Mehwish Alam
HierClasSArt: Knowledge-Aware Hierarchical Classification of Scholarly Articles. WWW (Companion Volume) 2021: 436-440 - [d2]Cristian Santini
OC-782K: Knowledge Graph of "Scientometrics" modelled according to the OpenCitations Data Model. Zenodo, 2021 - [d1]Cristian Santini
AMiner-534K: Knowledge Graph of AMiner benchmark for Author Name Disambiguation. Zenodo, 2021 - 2020
- [c4]Genet Asefa Gesese, Mehwish Alam, Harald Sack:
Semantic Entity Enrichment by Leveraging Multilingual Descriptions for Link Prediction. DL4KG@ESWC 2020 - [c3]Mehwish Alam, Genet Asefa Gesese, Zahra Rezaie, Harald Sack:
MigrAnalytics: Entity-based Analytics of Migration Tweets. ISWC (Demos/Industry) 2020: 74-79 - [c2]Genet Asefa Gesese, Fabian Hoppe, Mehwish Alam, Harald Sack:
Leveraging Multilingual Descriptions for Link Prediction: Initial Experiments. ISWC (Demos/Industry) 2020: 84-89 - [i3]Genet Asefa Gesese, Mehwish Alam
Semantic Entity Enrichment by Leveraging Multilingual Descriptions for Link Prediction. CoRR abs/2004.10640 (2020) - [i2]Nacira Abbas
Knowledge Graphs Evolution and Preservation - A Technical Report from ISWS 2019. CoRR abs/2012.11936 (2020)
2010 – 2019
- 2019
- [c1]Genet Asefa Gesese, Russa Biswas, Harald Sack:
A Comprehensive Survey of Knowledge Graph Embeddings with Literals: Techniques and Applications. DL4KG@ESWC 2019: 31-40 - [i1]Genet Asefa Gesese, Russa Biswas, Mehwish Alam
A Survey on Knowledge Graph Embeddings with Literals: Which model links better Literal-ly? CoRR abs/1910.12507 (2019)
Coauthor Index
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last updated on 2024-10-08 20:33 CEST by the dblp team
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