Miquel Ferriol

According to our database, Miquel Ferriol authored at least 20 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Scott Mahan, Hansen Lillemark, Sharvaree P. Vadgama, Erik J. Bekkers, Tim Doster, Tegan Emerson, Henry Kvinge, Katrina Agate, Nesreen K. Ahmed, Pengfei Bai, Michael Banf, Claudio Battiloro, Maxim Beketov, Paul Bogdan, Martin Carrasco, Andrea Cavallo, Yun Young Choi, George Dasoulas, Matous Elphick, Giordan Escalona, Dominik Filipiak, Halley Fritze, Thomas Gebhart, Manel Gil-Sorribes, Salvish Goomanee, Victor Guallar, Liliya Imasheva, Andrei Irimia, Hongwei Jin, Graham Johnson, Nikos Kanakaris, Boshko Koloski, Veljko Kovac, Manuel Lecha, Minho Lee, Pierrick Leroy, Theodore Long, German Magai, Alvaro Martinez, Marissa Masden, Sebastian Meznar, Bertran Miquel-Oliver, Alexis Molina, Alexander Nikitin, Marco Nurisso, Matt Piekenbrock, Yu Qin, Patryk Rygiel, Alessandro Salatiello, Max Schattauer, Pavel Snopov, Julian Suk, Valentina Sánchez, Mauricio Tec, Francesco Vaccarino, Jonas Verhellen, Frédéric Wantiez, Alexander Weers, Patrik Zajec, Blaz Skrlj, Nina Miolane

CoRR, 2024

Wavelet-Enhanced Graph Neural Networks: Towards Non-Parametric Network Traffic Modeling.

Carlos Güemes-Palau, Miquel Ferriol Galmés, Jordi Paillissé Vilanova, Albert Lopez-Bresco, Pere Barlet-Ros, Albert Cabellos-Aparicio

Proceedings of the 3rd GNNet Workshop on Graph Neural Networking Workshop, 2024

2023

RouteNet-Fermi: Network Modeling With Graph Neural Networks.

Miquel Ferriol Galmés, Jordi Paillisse, José Suárez-Varela, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio

IEEE/ACM Trans. Netw., December, 2023

Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities.

José Suárez-Varela, Paul Almasan, Miquel Ferriol Galmés, Krzysztof Rusek, Fabien Geyer, Xiangle Cheng, Xiang Shi, Shihan Xiao, Franco Scarselli, Albert Cabellos-Aparicio, Pere Barlet-Ros

IEEE Netw., 2023

Building a Graph-based Deep Learning network model from captured traffic traces.

Carlos Güemes-Palau, Miquel Ferriol Galmés, Albert Cabellos-Aparicio, Pere Barlet-Ros

CoRR, 2023

2022

RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation.

Miquel Ferriol Galmés, Krzysztof Rusek, José Suárez-Varela, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio

CoRR, 2022

Digital Twin Network: Opportunities and Challenges.

Paul Almasan, Miquel Ferriol Galmés, Jordi Paillisse, José Suárez-Varela, Diego Perino, Diego R. López, Antonio Agustin Pastor Perales, Paul Harvey, Laurent Ciavaglia, Leon Wong, Vishnu Ram, Shihan Xiao, Xiang Shi, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros

CoRR, 2022

Building a Digital Twin for network optimization using Graph Neural Networks.

Miquel Ferriol Galmés, José Suárez-Varela, Jordi Paillisse, Xiang Shi, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio

Comput. Networks, 2022

Network Digital Twin: Context, Enabling Technologies, and Opportunities.

Paul Almasan, Miquel Ferriol Galmés, Jordi Paillisse, José Suárez-Varela, Diego Perino, Diego R. López, Antonio Agustin Pastor Perales, Paul Harvey, Laurent Ciavaglia, Leon Wong, Vishnu Ram, Shihan Xiao, Xiang Shi, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros

IEEE Commun. Mag., 2022

RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation.

Miquel Ferriol Galmés, Krzysztof Rusek, José Suárez-Varela, Shihan Xiao, Xiang Shi, Xiangle Cheng, Bo Wu, Pere Barlet-Ros, Albert Cabellos-Aparicio

Proceedings of the IEEE INFOCOM 2022, 2022

FlowDT: A Flow-Aware Digital Twin for Computer Networks.

Miquel Ferriol Galmés, Xiangle Cheng, Xiang Shi, Shihan Xiao, Pere Barlet-Ros, Albert Cabellos-Aparicio

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

IGNNITION: Bridging the Gap between Graph Neural Networks and Networking Systems.

David Pujol-Perich, José Suárez-Varela, Miquel Ferriol, Shihan Xiao, Bo Wu, Albert Cabellos-Aparicio, Pere Barlet-Ros

IEEE Netw., 2021

Scaling Graph-based Deep Learning models to larger networks.

Miquel Ferriol Galmés, José Suárez-Varela, Krzysztof Rusek, Pere Barlet-Ros, Albert Cabellos-Aparicio

CoRR, 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, François Schnitzler, François Taïani, Martin Happ, Christian Maier, Jia Lei Du, Matthias Herlich, Peter Dorfinger, Nick Vincent Hainke, Stefan Venz, Johannes Wegener, Henrike Wissing, Bo Wu, Shihan Xiao, Pere Barlet-Ros, Albert Cabellos-Aparicio

Comput. Commun. Rev., 2021

IGNNITION: fast prototyping of graph neural networks for communication networks.

David Pujol-Perich, José Suárez-Varela, Miquel Ferriol Galmés, Bo Wu, Shihan Xiao, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros

Proceedings of the SIGCOMM '21: ACM SIGCOMM 2021 Conference, 2021

Decentralised Internet Infrastructure: Securing Inter-Domain Routing (DEMO).

Miquel Ferriol Galmés, Albert Cabellos-Aparicio

Proceedings of the 2021 IEEE Conference on Computer Communications Workshops, 2021

2020

Applying Graph-based Deep Learning To Realistic Network Scenarios.

Miquel Ferriol Galmés, José Suárez-Varela, Pere Barlet-Ros, Albert Cabellos-Aparicio

CoRR, 2020

Preventing Route Leaks using a Decentralized Approach.

Miquel Ferriol Galmés, Roger Coll Aumatell, Albert Cabellos-Aparicio, Shoushou Ren, Xinpeng Wei, Bingyang Liu

Proceedings of the 2020 IFIP Networking Conference, 2020

Preventing Route Leaks using a Decentralized Approach: An Experimental Evaluation.

Miquel Ferriol Galmés, Roger Coll Aumatell, Albert Cabellos-Aparicio, Shoushou Ren, Xinpeng Wei, Bingyang Liu

Proceedings of the 28th IEEE International Conference on Network Protocols, 2020

2018

IPchain: Securing IP Prefix Allocation and Delegation with Blockchain.

Jordi Paillisse, Miquel Ferriol, Eric Garcia, Hamid Latif, Carlos Piris, Albert Lopez-Bresco, Brenden Kuerbis, Alberto Rodríguez-Natal, Vina Ermagan, Fabio Maino, Albert Cabellos

Proceedings of the IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2018