| 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 | 89 | 2019 |
| A Comprehensive Survey of Knowledge Graph Embeddings with Literals: Techniques and Applications. GA Gesese, R Biswas, H Sack DL4KG@ ESWC, 31-40, 2019 | 36 | 2019 |
| 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 | 20 | 2022 |
| RAILD: Towards Leveraging Relation Features for Inductive Link Prediction In Knowledge Graphs GA Gesese, H Sack, M Alam IJCKG, 2022 | 16 | 2022 |
| 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 | 5 | 2021 |
| Semantic Entity Enrichment by Leveraging Multilingual Descriptions for Link Prediction GA Gesese, M Alam, H Sack arXiv preprint arXiv:2004.10640, 2020 | 5 | 2020 |
| MigrAnalytics: Entity-based Analytics of Migration Tweets. M Alam, GA Gesese, Z Rezaie, H Sack ISWC (Demos/Industry), 74-79, 2020 | 5 | 2020 |
| Leveraging Literals for Knowledge Graph Embeddings GA Gesese International semantic web conference, Doctoral Consortium, 2021 | 2 | 2021 |
| 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 | 2 | 2021 |
| Temporal Evolution of the Migration-related Topics on Social Media⋆ Y Chen, GA Gesese, H Sack, M Alam | 2 | 2021 |
| 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 | 2 | 2020 |
| Knowledge graphs evolution and preservation VA Carriero, L Asprino, R Biswas, I Celino, J Domingue, M Dumontier, ... | 2 | 2020 |
| 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 | 1 | 2024 |
| Leveraging Multilingual Descriptions for Link Prediction: Initial Experiments GA Gesese, F Hoppe, M Alam, H Sack ISWC (Demos/Industry), 2020 | 1 | 2020 |
| Towards amharic semantic search engine F Getahun, G Asefa Proceedings of the 7th International Conference on Management of …, 2015 | 1 | 2015 |
| Neurosymbolic Methods for Dynamic Knowledge Graphs M Alam, GA Gesese, PH Paris arXiv preprint arXiv:2409.04572, 2024 | | 2024 |
| 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 arXiv preprint arXiv:2408.08698, 2024 | | 2024 |
| LitKGE: Improving numeric LITerals based Knowledge Graph Embedding models GA Gesese, H Sack, M Alam | | 2024 |
Harald SackFIZ Karlsruhe - Leibniz Institute for Information Infrastructure & Karlsruhe Institute forBestätigte E-Mail-Adresse bei kit.edu
