The Effects of Randomness on the Stability of Node Embeddings. - Tobias Schumacher 002; Hinrikus Wolf; Martin Ritzert; Florian Lemmerich; Jan Bachmann; Florian Frantzen; Max Klabunde; Martin Grohe; Markus Strohmaier (CoRR, 2020)

Outlier Detection for Trajectories via Flow-embeddings. - Florian Frantzen; Jean-Baptiste Seby; Michael T. Schaub (ACSCC, 2021)

Signal processing on simplicial complexes. - Michael T. Schaub; Jean-Baptiste Seby; Florian Frantzen; T. Mitchell Roddenberry; Yu Zhu 003; Santiago Segarra (CoRR, 2021)

Hodgelets: Localized Spectral Representations of Flows On Simplicial Complexes. - T. Mitchell Roddenberry; Florian Frantzen; Michael T. Schaub; Santiago Segarra (ICASSP, 2022)

Signal Processing On Product Spaces. - T. Mitchell Roddenberry; Vincent P. Grande; Florian Frantzen; Michael T. Schaub; Santiago Segarra (ICASSP, 2023)

ICML 2023 Topological Deep Learning Challenge: Design and Results. - Mathilde Papillon; Mustafa Hajij; Audun Myers; Florian Frantzen; Ghada Zamzmi; Helen Jenne; Johan Mathe; Josef Hoppe; Michael T. Schaub; Theodore Papamarkou; Aldo Guzmán-Sáenz; Bastian Rieck; et al. (TAG-ML, 2023)

ICML 2023 Topological Deep Learning Challenge : Design and Results. - Mathilde Papillon; Mustafa Hajij; Florian Frantzen; Josef Hoppe; Helen Jenne; Johan Mathe; Audun Myers; Theodore Papamarkou; Michael T. Schaub; Ghada Zamzmi; Tolga Birdal; Tamal K. Dey; et al. (CoRR, 2023)

Topological Trajectory Classification and Landmark Inference on Simplicial Complexes. - Vincent P. Grande; Josef Hoppe; Florian Frantzen; Michael T. Schaub (IEEECONF, 2024)

Learning From Simplicial Data Based on Random Walks and 1D Convolutions. - Florian Frantzen; Michael T. Schaub (ICLR, 2024)

TopoX: A Suite of Python Packages for Machine Learning on Topological Domains. - Mustafa Hajij; Mathilde Papillon; Florian Frantzen; Jens Agerberg; Ibrahem AlJabea; Rubén Ballester; Claudio Battiloro; Guillermo Bernárdez; Tolga Birdal; Aiden Brent; Peter Chin 001; Sergio Escalera; et al. (CoRR, 2024)

HLSAD: Hodge Laplacian-based Simplicial Anomaly Detection. - Florian Frantzen; Michael T. Schaub (CoRR, 2025)