| Large Language Models and Knowledge Graphs: Opportunities and Challenges JZ Pan, S Razniewski, JC Kalo, S Singhania, J Chen, S Dietze, H Jabeen, ... arXiv preprint arXiv:2308.06374, 2023 | 98 | 2023 |
| A survey on knowledge graph embeddings with literals: Which model links better literal-ly? GA Gesese, R Biswas, M Alam, H Sack Semantic Web 12 (4), 617-647, 2021 | 91 | 2021 |
| A Comprehensive Survey of Knowledge Graph Embeddings with Literals: Techniques and Applications. GA Gesese, R Biswas, H Sack DL4KG@ ESWC, 31-40, 2019 | 37 | 2019 |
| Wikipedia Infobox Type Prediction Using Embeddings. R Biswas, R Türker, FB Moghaddam, M Koutraki, H Sack DL4KGS@ ESWC, 46-55, 2018 | 19 | 2018 |
| Cat2Type: Wikipedia Category Embeddings for Entity Typing in Knowledge Graphs R Biswas, R Sofronova, H Sack, M Alam Proceedings of the 11th on Knowledge Capture Conference, 81-88, 2021 | 18 | 2021 |
| Do judge an entity by its name! entity typing using language models R Biswas, R Sofronova, M Alam, N Heist, H Paulheim, H Sack The Semantic Web: ESWC 2021 Satellite Events: Virtual Event, June 6–10, 2021 …, 2021 | 14 | 2021 |
| Entity typing based on RDF2Vec using supervised and unsupervised methods R Sofronova, R Biswas, M Alam, H Sack The Semantic Web: ESWC 2020 Satellite Events: ESWC 2020 Satellite Events …, 2020 | 14 | 2020 |
| Entity type prediction leveraging graph walks and entity descriptions R Biswas, J Portisch, H Paulheim, H Sack, M Alam International Semantic Web Conference, 392-410, 2022 | 13 | 2022 |
| Contextual Language Models for Knowledge Graph Completion B Russa, R Sofronova, M Alam, H Sack MLSMKG 2021: Machine Learning with Symbolic Methods and Knowledge Graphs 2021, 2021 | 12* | 2021 |
| Embedding based link prediction for knowledge graph completion R Biswas Proceedings of the 29th ACM International Conference on Information …, 2020 | 12 | 2020 |
| MADLINK: Attentive multihop and entity descriptions for link prediction in knowledge graphs R Biswas, H Sack, M Alam Semantic Web, 1-24, 2024 | 11 | 2024 |
| Entity Type Prediction in Knowledge Graphs using Embeddings. arXiv (2020) R Biswas, R Sofronova, M Alam, H Sack | 11* | 2020 |
| Colex2Lang: Language embeddings from semantic typology Y Chen, R Biswas, J Bjerva The 24th Nordic Conference on Computational Linguistics, 673-684, 2023 | 8 | 2023 |
| Knowledge Graph Embeddings: Open Challenges and Opportunities R Biswas, LA Kaffee, M Cochez, S Dumbrava, TE Jendal, M Lissandrini, ... Transactions on Graph Data and Knowledge 1 (1), 4: 1-4: 32, 2023 | 8 | 2023 |
| 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 |
| Is aligning embedding spaces a challenging task? a study on heterogeneous embedding alignment methods R Biswas, M Alam, H Sack arXiv preprint arXiv:2002.09247, 2020 | 5* | 2020 |
| Measuring biosignals of overweight and obese children for real-time feedback and predicting performance N Öksüz, R Biswas, I Shcherbatyi, W Maass Information Systems and Neuroscience: Gmunden Retreat on NeuroIS 2017, 185-193, 2018 | 5 | 2018 |
| Knowledge graphs evolution and preservation VA Carriero, L Asprino, R Biswas, I Celino, J Domingue, M Dumontier, ... | 4* | 2020 |
| Exploiting equivalence to infer type subsumption in linked graphs R Biswas, M Koutraki, H Sack The Semantic Web: ESWC 2018 Satellite Events: ESWC 2018 Satellite Events …, 2018 | 4 | 2018 |
| Multilingual Knowledge Graphs and Low-Resource Languages: A Review LA Kaffee, R Biswas, CM Keet, EK Vakaj, G de Melo Schloss-Dagstuhl-Leibniz Zentrum für Informatik, 2023 | 3 | 2023 |
Harald SackFIZ Karlsruhe - Leibniz Institute for Information Infrastructure & Karlsruhe Institute forkit.edu의 이메일 확인됨
