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Russa Biswas
Russa Biswas
PhD. student, KIT, AIFB, FIZ Karlsruhe
Verified email at kit.edu
Title
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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
512021
A Comprehensive Survey of Knowledge Graph Embeddings with Literals: Techniques and Applications.
GA Gesese, R Biswas, H Sack
DL4KG@ ESWC, 31-40, 2019
242019
Wikipedia Infobox Type Prediction Using Embeddings.
R Biswas, R Türker, FB Moghaddam, M Koutraki, H Sack
DL4KGS@ ESWC, 46-55, 2018
152018
Entity Typing based on RDF2Vec using Supervised and Unsupervised Methods
R Sofronova, R Biswas, M Alam, H Sack
10*
Entity Type Prediction in Knowledge Graphs using Embeddings. arXiv (2020)
R Biswas, R Sofronova, M Alam, H Sack
8*2020
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
72021
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
62021
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
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
42021
Is aligning embedding spaces a challenging task? an analysis of the existing methods
R Biswas, M Alam, H Sack
arXiv preprint arXiv:2002.09247, 2020
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
MADLINK: Attentive multihop and entity descriptions for link prediction in knowledge graphs
R Biswas, H Sack, M Alam
Semantic Web, 1-24, 2021
32021
Embedding based link prediction for knowledge graph completion
R Biswas
Proceedings of the 29th ACM International Conference on Information …, 2020
32020
Knowledge Graphs Evolution and Preservation
VA Carriero, L Asprino, R Biswas
A Technical Report from ISWS 2019. Bertinoro: ISWS, 2020
3*2020
Predicting wikipedia infobox type information using word embeddings on categories
R Biswas, M Koutraki, H Sack
2018 EKAW Posters and Demonstrations Session, EKAW-PD 2018; Nancy; France …, 2018
32018
Entity type prediction leveraging graph walks and entity descriptions
R Biswas, J Portisch, H Paulheim, H Sack, M Alam
The Semantic Web–ISWC 2022: 21st International Semantic Web Conference …, 2022
12022
Linked Open Data Validity--A Technical Report from ISWS 2018
TA Ghor, E Agrawal, M Alam, O Alqawasmeh, C D'amato, A Annane, ...
arXiv preprint arXiv:1903.12554, 2019
12019
HistorEx: exploring historical text corpora using word and document embeddings
S Müller, M Brunzel, D Kaun, R Biswas, M Koutraki, T Tietz, H Sack
The Semantic Web: ESWC 2019 Satellite Events: ESWC 2019 Satellite Events …, 2019
12019
It’s All in the Name: Entity Typing Using Multilingual Language Models
R Biswas, Y Chen, H Paulheim, H Sack, M Alam
The Semantic Web: ESWC 2022 Satellite Events: Hersonissos, Crete, Greece …, 2022
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
2021
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