EGG-GAE: scalable graph neural networks for tabular data imputation. - Lev Telyatnikov; Simone Scardapane (AISTATS, 2023)

Topological Network Traffic Compression. - Guillermo Bernárdez; Lev Telyatnikov; Eduard Alarcón; Albert Cabellos-Aparicio; Pere Barlet-Ros; Pietro Liò (GNNet@CoNEXT, 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)

Topological Graph Signal Compression. - Guillermo Bernárdez; Lev Telyatnikov; Eduard Alarcón; Albert Cabellos-Aparicio; Pere Barlet-Ros; Pietro Liò (CoRR, 2023)

From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module. - Claudio Battiloro; Indro Spinelli; Lev Telyatnikov; Michael M. Bronstein; Simone Scardapane; Paolo Di Lorenzo (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)

TopoBenchmarkX: A Framework for Benchmarking Topological Deep Learning. - Lev Telyatnikov; Guillermo Bernárdez; Marco Montagna; Pavlo Vasylenko; Ghada Zamzmi; Mustafa Hajij; Michael T. Schaub; Nina Miolane; Simone Scardapane; Theodore Papamarkou (CoRR, 2024)

ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain. - Guillermo Bernárdez; Lev Telyatnikov; Marco Montagna; Federica Baccini; Mathilde Papillon; Miquel Ferriol Galmés; Mustafa Hajij; Theodore Papamarkou; Maria Sofia Bucarelli; Olga Zaghen; Johan Mathe; Audun Myers; et al. (CoRR, 2024)

Topological Deep Learning with State-Space Models: A Mamba Approach for Simplicial Complexes. - Marco Montagna; Simone Scardapane; Lev Telyatnikov (CoRR, 2024)

Hypergraph Neural Networks through the Lens of Message Passing: A Common Perspective to Homophily and Architecture Design. - Lev Telyatnikov; Maria Sofia Bucarelli; Guillermo Bernárdez; Olga Zaghen; Simone Scardapane; Pietro Lio (Trans. Mach. Learn. Res., 2025)

Deep learning with structured data: topology inference and higher-order modeling. - Lev Telyatnikov (2025)

HOPSE: Scalable Higher-Order Positional and Structural Encoder for Combinatorial Representations. - Martin Carrasco; Guillermo Bernárdez; Marco Montagna; Nina Miolane; Lev Telyatnikov (CoRR, 2025)