%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 }