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Russa Biswas
Russa Biswas
Assistant Professor at Aalborg University, Denmark
Verified email at cs.aau.dk
Title
Cited by
Cited by
Year
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
912021
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
792023
A Comprehensive Survey of Knowledge Graph Embeddings with Literals: Techniques and Applications.
GA Gesese, R Biswas, H Sack
DL4KG@ ESWC, 31-40, 2019
362019
Wikipedia Infobox Type Prediction Using Embeddings.
R Biswas, R Türker, FB Moghaddam, M Koutraki, H Sack
DL4KGS@ ESWC, 46-55, 2018
192018
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
182021
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
142021
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
142020
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
13*2021
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
122022
MADLINK: Attentive multihop and entity descriptions for link prediction in knowledge graphs
R Biswas, H Sack, M Alam
Semantic Web, 1-24, 2024
112024
Entity Type Prediction in Knowledge Graphs using Embeddings. arXiv (2020)
R Biswas, R Sofronova, M Alam, H Sack
11*2020
Embedding based link prediction for knowledge graph completion
R Biswas
Proceedings of the 29th ACM International Conference on Information …, 2020
102020
Colex2Lang: Language embeddings from semantic typology
Y Chen, R Biswas, J Bjerva
The 24th Nordic Conference on Computational Linguistics, 673-684, 2023
62023
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
62023
Hierclassart: knowledge-aware hierarchical classification of scholarly articles
M Alam, R Biswas, Y Chen, D Dessě, GA Gesese, F Hoppe, H Sack
Companion Proceedings of the Web Conference 2021, 436-440, 2021
52021
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
52018
Large language models and knowledge graphs: Opportunities and challenges, 2023
JZ Pan, S Razniewski, JC Kalo, S Singhania, J Chen, S Dietze, H Jabeen, ...
arXiv preprint arXiv:2308.06374, 0
5
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
42018
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Articles 1–20