%0 Generic
%1 hille2024reproducibility
%A Hille, Tobias
%A Stubbemann, Maximilian
%A Hanika, Tom
%D 2024
%K dimcurse kde kdepub myown publist
%T Reproducibility and Geometric Intrinsic Dimensionality: An Investigation on Graph Neural Network Research
@preprint{hille2024reproducibility,
added-at = {2024-03-19T12:22:00.000+0100},
archiveprefix = {arXiv},
author = {Hille, Tobias and Stubbemann, Maximilian and Hanika, Tom},
biburl = {https://www.bibsonomy.org/bibtex/29059cba53f21648c1cf1a69e71ff5248/tomhanika},
description = {Reproducibility and Geometric Intrinsic Dimensionality: An Investigation on Graph Neural Network Research},
eprint = {2403.08438},
interhash = {7e34e9c7232dd61858f5a825761ea21a},
intrahash = {9059cba53f21648c1cf1a69e71ff5248},
keywords = {dimcurse kde kdepub myown publist},
primaryclass = {cs.LG},
timestamp = {2024-03-19T12:22:00.000+0100},
title = {Reproducibility and Geometric Intrinsic Dimensionality: An Investigation on Graph Neural Network Research},
year = 2024
}