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‎content/publications.md‎

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### 2026
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- [*No Triangulation Without Representation: Generalization in Topological Deep Learning*](https://arxiv.org/abs/2605.06467)<br />
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J.&thinsp;S.&nbsp;Schmidt<sup>&dagger;</sup>, M.&nbsp;Carrasco<sup>&dagger;</sup>, E.&nbsp;Röell, G.&nbsp;Wolf, N.&nbsp;Blaser<sup>&Dagger;</sup>, and B.&nbsp;Rieck<sup>&Dagger;</sup><br />
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Preprint, 2026<br />
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<small>[\[Preprint\]](https://arxiv.org/abs/2605.06467) &bull; [\[BibTeX\]](Schmidt26a.bib)</small>
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- [*Diversity Curves for Graph Representation Learning*](https://arxiv.org/abs/2605.06466)<br />
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K.&nbsp;Limbeck, N.&nbsp;Häusermann, M.&nbsp;Carrasco, G.&nbsp;Wolf, and B.&nbsp;Rieck<br />
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Preprint, 2026<br />
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<small>[\[Preprint\]](https://arxiv.org/abs/2605.06466) &bull; [\[BibTeX\]](Limbeck26a.bib)</small>
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- [*Invariant-Based Diagnostics for Graph Benchmarks*](https://arxiv.org/abs/2605.06462)<br />
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R.&nbsp;von Moos, M.&nbsp;Alain, and B.&nbsp;Rieck<br />
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Preprint, 2026<br />
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<small>[\[Preprint\]](https://arxiv.org/abs/2605.06462) &bull; [\[BibTeX\]](vonMoos26a.bib)</small>
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- [*Geometry-Aware Simplicial Message Passing*](https://arxiv.org/abs/2605.06061)<br />
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E.&thinsp;X.&nbsp;Wang and B.&nbsp;Rieck<br />
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Preprint, 2026<br />
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<small>[\[Preprint\]](https://arxiv.org/abs/2605.06061) &bull; [\[BibTeX\]](Wang26a.bib)</small>
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- [*TOAST: Transformer Optimization Using Adaptive and Simple Transformations*](https://openreview.net/forum?id=fSwMCsBtTG)<br />
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I.&nbsp;Cannistraci, S.&nbsp;Antonelli, E.&nbsp;Palumbo, T.&thinsp;M.&nbsp;Sutter, E.&nbsp;Rodolà, B.&nbsp;Rieck, and J.&thinsp;E.&nbsp;Vogt<br />
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Transactions on Machine Learning Research, 2026 (in press)<br />
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<small>[\[Preprint\]](https://arxiv.org/abs/2511.03068) &bull; [\[BibTeX\]](Carrasco26a.bib)</small>
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- [*LEAP: Local ECT-Based Learnable Positional Encodings for Graphs*](https://openreview.net/forum?id=8XFPhByERc)<br />
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J.&nbsp;Amboage, E.&nbsp;Röell, P.&nbsp;Schnider, and B.&nbsp;Rieck<br />
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International Conference on Learning Representations, 2026 (in press)<br />
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International Conference on Learning Representations, 2026<br />
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<small>[\[Preprint\]](https://arxiv.org/abs/2510.00757) &bull; [\[BibTeX\]](Amboage26a.bib)</small>
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- [*Molecular Machine Learning Using Euler Characteristic Transforms*](https://dx.doi.org/10.1007/978-3-032-10661-2_30)<br />
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V.&nbsp;Toscano-Duran, F.&nbsp;Rottach, and B.&nbsp;Rieck<br />
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S.&nbsp;Gathrid, J.&nbsp;Wayland, S.&nbsp;Wayland, R.&nbsp;Deshmukh, and G.&thinsp;C.&nbsp;Wu<br />
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Nature Energy, Volume 10, Number 10, pp. 1274--1288, 2025<br />
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<small>[\[BibTeX\]](Gathrid25a.bib)</small>
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- [*Less Is More: Local Intrinsic Dimensions of Contextual Language Models*](https://arxiv.org/abs/2506.01034)<br />
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B.&thinsp;M.&nbsp;Ruppik, J.&nbsp;von Rohrscheidt, C.&nbsp;van Niekerk, M.&nbsp;Heck, R.&nbsp;Vukovic, S.&nbsp;Feng, H.&nbsp;Lin, N.&nbsp;Lubis, B.&nbsp;Rieck, M.&nbsp;Zibrowius, and M.&nbsp;Gašić<br />
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Advances in Neural Information Processing Systems, Volume 38, 2025 (in press)<br />
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<small>[\[Preprint\]](https://arxiv.org/abs/2506.01034) &bull; [\[GitHub\]](https://github.com/aidos-lab/Topo_LLM_public) &bull; [\[BibTeX\]](Ruppik25a.bib)</small>
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- [*Point Cloud Synthesis Using Inner Product Transforms*](https://arxiv.org/abs/2410.18987)<br />
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E.&nbsp;Röell and B.&nbsp;Rieck<br />
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Advances in Neural Information Processing Systems, Volume 38, 2025 (in press)<br />
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<small>[\[Preprint\]](https://arxiv.org/abs/2410.18987) &bull; [\[GitHub\]](https://github.com/aidos-lab/inner-product-transforms) &bull; [\[BibTeX\]](Roell25a.bib)</small>
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- [*Geometry-Aware Edge Pooling for Graph Neural Networks*](https://arxiv.org/abs/2506.11700)<br />
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K.&nbsp;Limbeck<sup>&dagger;</sup>, L.&nbsp;Mezrag<sup>&dagger;</sup>, G.&nbsp;Wolf<sup>&Dagger;</sup>, and B.&nbsp;Rieck<sup>&Dagger;</sup><br />
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Advances in Neural Information Processing Systems, Volume 38, 2025 (in press)<br />
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Advances in Neural Information Processing Systems, Volume 38, pp. 157770--157808, 2025<br />
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<small>[\[Preprint\]](https://arxiv.org/abs/2506.11700) &bull; [\[GitHub\]](https://github.com/aidos-lab/mag_edge_pool) &bull; [\[BibTeX\]](Limbeck25b.bib)</small>
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- [*Point Cloud Synthesis Using Inner Product Transforms*](https://arxiv.org/abs/2410.18987)<br />
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E.&nbsp;Röell and B.&nbsp;Rieck<br />
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Advances in Neural Information Processing Systems, Volume 38, pp. 14551--14583, 2025<br />
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<small>[\[Preprint\]](https://arxiv.org/abs/2410.18987) &bull; [\[GitHub\]](https://github.com/aidos-lab/inner-product-transforms) &bull; [\[BibTeX\]](Roell25a.bib)</small>
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- [*Less Is More: Local Intrinsic Dimensions of Contextual Language Models*](https://arxiv.org/abs/2506.01034)<br />
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B.&thinsp;M.&nbsp;Ruppik, J.&nbsp;von Rohrscheidt, C.&nbsp;van Niekerk, M.&nbsp;Heck, R.&nbsp;Vukovic, S.&nbsp;Feng, H.&nbsp;Lin, N.&nbsp;Lubis, B.&nbsp;Rieck, M.&nbsp;Zibrowius, and M.&nbsp;Gašić<br />
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Advances in Neural Information Processing Systems, Volume 38, pp. 67795--67828, 2025<br />
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<small>[\[Preprint\]](https://arxiv.org/abs/2506.01034) &bull; [\[GitHub\]](https://github.com/aidos-lab/Topo_LLM_public) &bull; [\[BibTeX\]](Ruppik25a.bib)</small>
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- [*Diss-l-ECT: Dissecting Graph Data With Local Euler Characteristic Transforms*](https://proceedings.mlr.press/v267/von-rohrscheidt25a.html)<br />
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J.&nbsp;von Rohrscheidt and B.&nbsp;Rieck<br />
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Proceedings of the 42nd International Conference on Machine Learning, Volume 267, pp. 61790--61809, 2025<br />

‎static/research/Amboage26a.bib‎

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eprint = {2510.00757},
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keywords = {CORE-A*},
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primaryclass = {cs.LG},
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pubstate = {inpress},
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title = {LEAP: Local ECT-Based Learnable Positional Encodings for Graphs},
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url = {https://openreview.net/forum?id=8XFPhByERc},
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year = {2026},

‎static/research/Limbeck25b.bib‎

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author = {Katharina Limbeck and Lydia Mezrag and Guy Wolf and Bastian Rieck},
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author+an = {1=first; 2=first; 3=last; 4=last,highlight},
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booktitle = {Advances in Neural Information Processing Systems},
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editor = {D. Belgrave and C. Zhang and H. Lin and R. Pascanu and P. Koniusz and M. Ghassemi and N. Chen},
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eprint = {2506.11700},
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keywords = {CORE-A*},
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pages = {157770--157808},
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primaryclass = {cs.LG},
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publisher = {Curran Associates, Inc.},
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pubstate = {inpress},
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repository = {https://github.com/aidos-lab/mag_edge_pool},
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title = {Geometry-Aware Edge Pooling for Graph Neural Networks},
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volume = {38},

‎static/research/Limbeck26a.bib‎

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@unpublished{Limbeck26a,
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archiveprefix = {arXiv},
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author = {Katharina Limbeck and Nadja Häusermann and Martin Carrasco and Guy Wolf and Bastian Rieck},
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author+an = {5=highlight},
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eprint = {2605.06466},
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primaryclass = {cs.LG},
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title = {Diversity Curves for Graph Representation Learning},
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year = {2026},
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}

‎static/research/Roell25a.bib‎

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author = {Ernst R{\"o}ell and Bastian Rieck},
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author+an = {2=highlight},
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booktitle = {Advances in Neural Information Processing Systems},
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editor = {D. Belgrave and C. Zhang and H. Lin and R. Pascanu and P. Koniusz and M. Ghassemi and N. Chen},
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eprint = {2410.18987},
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keywords = {CORE-A*},
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pages = {14551--14583},
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primaryclass = {cs.CV},
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publisher = {Curran Associates, Inc.},
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pubstate = {inpress},
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repository = {https://github.com/aidos-lab/inner-product-transforms},
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title = {Point Cloud Synthesis Using Inner Product Transforms},
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volume = {38},

‎static/research/Ruppik25a.bib‎

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@inproceedings{Ruppik25a,
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archiveprefix = {arXiv},
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author = {Benjamin Matthias Ruppik and Julius von Rohrscheidt and Carel van Niekerk and Michael Heck and Renato Vukovic and Shutong Feng and Hsien-chin Lin and Nurul Lubis and Bastian Rieck and Marcus Zibrowius and Milica Gašić},
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author = {Benjamin Matthias Ruppik and von Rohrscheidt, Julius and van Niekerk, Carel and Michael Heck and Renato Vukovic and Shutong Feng and Hsien-chin Lin and Nurul Lubis and Bastian Rieck and Marcus Zibrowius and Milica Gašić},
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author+an = {9=highlight},
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booktitle = {Advances in Neural Information Processing Systems},
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editor = {D. Belgrave and C. Zhang and H. Lin and R. Pascanu and P. Koniusz and M. Ghassemi and N. Chen},
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eprint = {2506.01034},
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keywords = {CORE-A*},
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pages = {67795--67828},
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primaryclass = {cs.CL},
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publisher = {Curran Associates, Inc.},
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pubstate = {inpress},
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repository = {https://github.com/aidos-lab/Topo_LLM_public},
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title = {Less is More: Local Intrinsic Dimensions of Contextual Language Models},
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volume = {38},

‎static/research/Schmidt26a.bib‎

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@unpublished{Schmidt26a,
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archiveprefix = {arXiv},
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author = {Johannes S. Schmidt and Martin Carrasco and Ernst Röell and Guy Wolf and Nello Blaser and Bastian Rieck},
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author+an = {1=first; 2=first; 5=last; 6=highlight,last},
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eprint = {2605.06467},
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primaryclass = {cs.LG},
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title = {No Triangulation Without Representation: Generalization in Topological Deep Learning},
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year = {2026},
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}

‎static/research/Wang26a.bib‎

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@unpublished{Wang26a,
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archiveprefix = {arXiv},
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author = {Elena Xinyi Wang and Bastian Rieck},
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author+an = {2=highlight},
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eprint = {2605.06061},
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primaryclass = {cs.LG},
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title = {Geometry-Aware Simplicial Message Passing},
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year = {2026},
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}

‎static/research/vonMoos26a.bib‎

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@unpublished{vonMoos26a,
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archiveprefix = {arXiv},
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author = {von Moos, Richard and Mathieu Alain and Bastian Rieck},
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author+an = {3=highlight},
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eprint = {2605.06462},
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primaryclass = {cs.LG},
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title = {Invariant-Based Diagnostics for Graph Benchmarks},
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year = {2026},
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}

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