Is Machine Learning Ready for Traffic Engineering Optimization? - Guillermo Bernárdez; José Suárez-Varela; Albert López; Bo Wu; Shihan Xiao; Xiangle Cheng; Pere Barlet-Ros; Albert Cabellos-Aparicio (ICNP, 2021)

The graph neural networking challenge: a worldwide competition for education in AI/ML for networks. - José Suárez-Varela; Miquel Ferriol Galmés; Albert López; Paul Almasan; Guillermo Bernárdez; David Pujol-Perich; Krzysztof Rusek; Loïck Bonniot; Christoph Neumann 001; François Schnitzler; François Taïani; Martin Happ; et al. (Comput. Commun. Rev., 2021)

Proximal Policy Optimization with Graph Neural Networks for Optimal Power Flow. - Ángela López-Cardona; Guillermo Bernárdez; Pere Barlet-Ros; Albert Cabellos-Aparicio (CoRR, 2022)

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)

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)

MAGNNETO: A Graph Neural Network-Based Multi-Agent System for Traffic Engineering. - Guillermo Bernárdez; José Suárez-Varela; Albert López; Xiang Shi; Shihan Xiao; Xiangle Cheng; Pere Barlet-Ros; Albert Cabellos-Aparicio (IEEE Trans. Cogn. Commun. Netw., 2023)

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)

TopoTune : A Framework for Generalized Combinatorial Complex Neural Networks. - Mathilde Papillon; Guillermo Bernárdez; Claudio Battiloro; Nina Miolane (CoRR, 2024)

Multi-agent graph learning-based optimization and its applications to computer networks - Guillermo Bernárdez (2024)

GraphCC: A practical graph learning-based approach to Congestion Control in datacenters. - Guillermo Bernárdez; José Suárez-Varela; Xiang Shi; Shihan Xiao; Xiangle Cheng; Pere Barlet-Ros; Albert Cabellos-Aparicio (Comput. Networks, 2025)

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)

When Machine Learning Gets Personal: Understanding Fairness of Personalized Models. - Louisa Cornelis; Guillermo Bernárdez; Haewon Jeong; Nina Miolane (CoRR, 2025)

Ordered Topological Deep Learning: a Network Modeling Case Study. - Guillermo Bernárdez; Miquel Ferriol Galmés; Carlos Güemes-Palau; Mathilde Papillon; Pere Barlet-Ros; Albert Cabellos-Aparicio; Nina Miolane (CoRR, 2025)

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