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content/publications.md

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## Preprints
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- I.&nbsp;Cannistraci, E.&nbsp;Rodolà, and B.&nbsp;Rieck: [*Detecting and Approximating Redundant Computational Blocks in Neural Networks*](https://arxiv.org/abs/2410.04941), Preprint, 2024<br />
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<small>[\[Preprint\]](https://arxiv.org/abs/2410.04941) &bull; [\[BibTeX\]](Cannistraci24a.bib)</small>
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- J.&nbsp;von Rohrscheidt and B.&nbsp;Rieck: [*Diss-L-Ect: Dissecting Graph Data With Local Euler Characteristic Transforms*](https://arxiv.org/abs/2410.02622), Preprint, 2024<br />
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<small>[\[Preprint\]](https://arxiv.org/abs/2410.02622) &bull; [\[BibTeX\]](vonRohrscheidt24a.bib)</small>
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- R.&nbsp;Ballester<sup>&dagger;</sup>, E.&nbsp;Röell<sup>&dagger;</sup>, D.&nbsp;Bin Schmid<sup>&dagger;</sup>, M.&nbsp;Alain<sup>&dagger;</sup>, S.&nbsp;Escalera, C.&nbsp;Casacuberta, and B.&nbsp;Rieck: [*MANTRA: The Manifold Triangulations Assemblage*](https://arxiv.org/abs/2410.02392), Preprint, 2024<br />
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<small>[\[Preprint\]](https://arxiv.org/abs/2410.02392) &bull; [\[BibTeX\]](Ballester24a.bib)</small>
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- D.&nbsp;Buffelli<sup>&dagger;</sup>, F.&nbsp;Soleymani<sup>&dagger;</sup>, and B.&nbsp;Rieck: [*CliquePH: Higher-Order Information for Graph Neural Networks Through Persistent Homology on Clique Graphs*](https://arxiv.org/abs/2409.08217), Preprint, 2024<br />
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<small>[\[Preprint\]](https://arxiv.org/abs/2409.08217) &bull; [\[BibTeX\]](Buffelli24a.bib)</small>
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- K.&nbsp;Limbeck and B.&nbsp;Rieck: [*Detecting Spatial Dependence in Transcriptomics Data Using Vectorised Persistence Diagrams*](https://arxiv.org/abs/2409.03575), Preprint, 2024<br />
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<small>[\[Preprint\]](https://arxiv.org/abs/2409.03575) &bull; [\[BibTeX\]](Limbeck24b.bib)</small>
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- J.&nbsp;Wayland, R.&thinsp;J.&nbsp;Funk, and B.&nbsp;Rieck: [*Characterizing Physician Referral Networks With Ricci Curvature*](https://arxiv.org/abs/2408.16022), Preprint, 2024<br />

static/research/Ballester24a.bib

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@unpublished{Ballester24a,
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archiveprefix = {arXiv},
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author = {Rubén Ballester and Ernst Röell and Daniel Bin Schmid and Mathieu Alain and Sergio Escalera and Carles Casacuberta and Bastian Rieck},
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author+an = {1=first; 2=first; 3=first; 4=first; 7=highlight},
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eprint = {2410.02392},
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primaryclass = {cs.LG},
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title = {MANTRA: The Manifold Triangulations Assemblage},
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type = {Preprint},
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year = {2024},
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}

static/research/Buffelli24a.bib

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@unpublished{Buffelli24a,
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archiveprefix = {arXiv},
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author = {Davide Buffelli and Farzin Soleymani and Bastian Rieck},
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author+an = {1=first; 2=first; 3=highlight},
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eprint = {2409.08217},
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primaryclass = {cs.LG},
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title = {{CliquePH}: Higher-Order Information for Graph Neural Networks through Persistent Homology on Clique Graphs},
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type = {Preprint},
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year = {2024},
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}

static/research/Cannistraci24a.bib

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@unpublished{Cannistraci24a,
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archiveprefix = {arXiv},
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author = {Irene Cannistraci and Emanuele Rodolà and Bastian Rieck},
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author+an = {3=highlight},
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eprint = {2410.04941},
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primaryclass = {cs.LG},
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title = {Detecting and Approximating Redundant Computational Blocks in Neural Networks},
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type = {Preprint},
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year = {2024},
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}
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@unpublished{vonRohrscheidt24a,
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archiveprefix = {arXiv},
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author = {von Rohrscheidt, Julius and Rieck, Bastian},
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author+an = {2=highlight},
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eprint = {2410.02622},
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primaryclass = {cs.LG},
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title = {Diss-l-ECT: Dissecting Graph Data with local Euler Characteristic Transforms},
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type = {Preprint},
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year = {2024},
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}

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