Rupesh Sapkota

Data Science / Heinz Nixdorf Institut

Wissenschaftlicher Mitarbeiter

Büro­anschrift:
Fürstenallee 11
33102 Paderborn
Raum:
FU.201.3

Publikationen

Aktuelle Publikationen

Beyond CUDA OOM: Sharded Training for the Entire DBpedia and Wikidata Knowledge Graph Embeddings

S. Sharma, A. Khomich, R. Sapkota, C. Demir, A.-C. Ngonga Ngomo, M. Sherif, in: 2026 IEEE International Conference on Big Data (BigData), 2026.


Neural Regression with Embeddings for Numerical Attribute Prediction in Knowledge Graphs

R. Sapkota, M.O. Yekini, L.M. Kamdem Teyou, C. Demir, A.-C. Ngonga Ngomo, in: Web Information Systems Engineering – WISE 2026  27th International Conference, Venice, Italy, November 1–5, 2026, Proceedings, Springer Singapore, 2026.


Evaluation of Weight Averaging for Knowledge Graph Embeddings under Graph Noise

R. Sapkota, A. Memariani, A. Sharma, A.-C. Ngonga Ngomo, in: Web Information Systems Engineering – WISE 2026  27th International Conference, Venice, Italy, November 1–5, 2026, Proceedings, Springer Singapore, 2026.


Parameter Averaging in Link Prediction

R. Sapkota, C. Demir, A. Sharma, A.-C. Ngonga Ngomo, in: Proceedings of the Thirteenth International Conference on Knowledge Capture(K-CAP 2025), ACM, Dayton, OH, USA, 2025.


EDGE: Evaluation Framework for Logical vs. Subgraph Explanations for Node Classifiers on Knowledge Graphs

R. Sapkota, D. Köhler, S. Heindorf, in: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM ’24), ACM, Boise, Idaho, USA, 2024.


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