HypBench: Hyperbolic Benchmark for Graph Neural Network Performance.
- DOI
- 10.1109/tnnls.2026.3697597
- Published
- 2026 Nov
- Container
- IEEE transactions on neural networks and learning systems
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tnnls.2026.3697597,
title = {HypBench: Hyperbolic Benchmark for Graph Neural Network Performance.},
author = {Aliakbarisani R and Jankowski R and Serrano MA and Boguna M},
year = {2026},
journal = {IEEE transactions on neural networks and learning systems},
doi = {10.1109/tnnls.2026.3697597},
url = {https://doi.org/10.1109/tnnls.2026.3697597}
}RIS
TY - JOUR TI - HypBench: Hyperbolic Benchmark for Graph Neural Network Performance. AU - Aliakbarisani R AU - Jankowski R AU - Serrano MA AU - Boguna M PY - 2026 JO - IEEE transactions on neural networks and learning systems DO - 10.1109/tnnls.2026.3697597 UR - https://doi.org/10.1109/tnnls.2026.3697597 ER -
APA
R, A., R, J., MA, S., & M, B. (2026). HypBench: Hyperbolic Benchmark for Graph Neural Network Performance.. IEEE transactions on neural networks and learning systems. https://doi.org/10.1109/tnnls.2026.3697597
Source records
- pubmed · retrieved 2026-11-10T11:51:26.811Z