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Genet Asefa Gesese
Genet Asefa Gesese
AIFB/KIT, FIZ Karlsruhe – Leibniz Institute for Information Infrastructure and Karlsruhe Institute
Bestätigte E-Mail-Adresse bei fiz-karlsruhe.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
A survey on knowledge graph embeddings with literals: Which model links better literal-ly?
GA Gesese, R Biswas, M Alam, H Sack
Semantic Web, 1-31, 2019
922019
A Comprehensive Survey of Knowledge Graph Embeddings with Literals: Techniques and Applications.
GA Gesese, R Biswas, H Sack
DL4KG@ ESWC, 31-40, 2019
372019
A Knowledge Graph Embeddings based Approach for Author Name Disambiguation using Literals
C Santini, GA Gesese, S Peroni, A Gangemi, H Sack, M Alam
arXiv preprint arXiv:2201.09555, 2022
222022
RAILD: Towards Leveraging Relation Features for Inductive Link Prediction In Knowledge Graphs
GA Gesese, H Sack, M Alam
IJCKG, 2022
192022
LiterallyWikidata-A Benchmark for Knowledge Graph Completion Using Literals
GA Gesese, M Alam, H Sack
International Semantic Web Conference, 511-527, 2021
13*2021
HierClasSArt: Knowledge-Aware Hierarchical Classification of Scholarly Articles
M Alam, R Biswas, Y Chen, D Dessì, GA Gesese, F Hoppe, H Sack
Companion Proceedings of the Web Conference 2021, 436-440, 2021
52021
Semantic Entity Enrichment by Leveraging Multilingual Descriptions for Link Prediction
GA Gesese, M Alam, H Sack
arXiv preprint arXiv:2004.10640, 2020
52020
MigrAnalytics: Entity-based Analytics of Migration Tweets.
M Alam, GA Gesese, Z Rezaie, H Sack
ISWC (Demos/Industry), 74-79, 2020
52020
Neurosymbolic Methods for Dynamic Knowledge Graphs
M Alam, GA Gesese, PH Paris
arXiv preprint arXiv:2409.04572, 2024
22024
Leveraging Literals for Knowledge Graph Embeddings
GA Gesese
International semantic web conference, Doctoral Consortium, 2021
22021
Challenges of Applying Knowledge Graph and their Embeddings to a Real-world Use-case
R Petzold, GA Gesese, V Bogdanova, T Zylowski, H Sack, M Alam
DL4KG@ISWC, 2021
22021
Temporal Evolution of the Migration-related Topics on Social Media⋆
Y Chen, GA Gesese, H Sack, M Alam
22021
Knowledge Graphs Evolution and Preservation--A Technical Report from ISWS 2019
N Abbas, K Alghamdi, M Alinam, F Alloatti, G Amaral, C d'Amato, ...
arXiv preprint arXiv:2012.11936, 2020
22020
Knowledge graphs evolution and preservation
VA Carriero, L Asprino, R Biswas, I Celino, J Domingue, M Dumontier, ...
22020
KGMistral: Towards Boosting the Performance of Large Language Models for Question Answering with Knowledge Graph Integration
M Li, H Yang, Z Liu, MM Alam, E Norouzi, H Sack, GA Gesese
DL4KG@KDD2024, Workshop on Deep Learning and Large Language Models for …, 2024
12024
Leveraging Multilingual Descriptions for Link Prediction: Initial Experiments
GA Gesese, F Hoppe, M Alam, H Sack
ISWC (Demos/Industry), 2020
12020
Towards amharic semantic search engine
F Getahun, G Asefa
Proceedings of the 7th International Conference on Management of …, 2015
12015
Workshop on Deep Learning and Large Language Models for Knowledge Graphs (DL4KG)
M Alam, D Buscaldi, M Cochez, GA Gesese, F Osborne, ...
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024
2024
NFDI4DSO: Towards a BFO Compliant Ontology for Data Science
GA Gesese, J Waitelonis, Z Chen, S Schimmler, H Sack
Joint Proceedings of Posters, Demos, Workshops, and Tutorials of the 20th …, 2024
2024
LitKGE: Improving numeric LITerals based Knowledge Graph Embedding models
GA Gesese, H Sack, M Alam
2024
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