Securing the Control-plane Channel and Cache of Pull-based ID/LOC Protocols. - Paul Almasan; Jordi Paillisse; Alberto Rodríguez-Natal; Pere Barlet-Ros; Florin Coras; Vina Ermagan; Fabio Maino; Albert Cabellos-Aparicio (CoRR, 2018)

Towards more realistic network models based on Graph Neural Networks. - Arnau Badia-Sampera; José Suárez-Varela; Paul Almasan; Krzysztof Rusek; Pere Barlet-Ros; Albert Cabellos-Aparicio (CoNEXT Companion, 2019)

Challenging the generalization capabilities of Graph Neural Networks for network modeling. - José Suárez-Varela; Sergi Carol-Bosch; Krzysztof Rusek; Paul Almasan; Marta Arias; Pere Barlet-Ros; Albert Cabellos-Aparicio (SIGCOMM Posters and Demos, 2019)

Deep Reinforcement Learning meets Graph Neural Networks: An optical network routing use case. - Paul Almasan; José Suárez-Varela; Arnau Badia-Sampera; Krzysztof Rusek; Pere Barlet-Ros; Albert Cabellos-Aparicio (CoRR, 2019)

RouteNet: Leveraging Graph Neural Networks for Network Modeling and Optimization in SDN. - Krzysztof Rusek; José Suárez-Varela; Paul Almasan; Pere Barlet-Ros; Albert Cabellos-Aparicio (IEEE J. Sel. Areas Commun., 2020)

Towards Real-Time Routing Optimization with Deep Reinforcement Learning: Open Challenges. - Paul Almasan; José Suárez-Varela; Bo Wu; Shihan Xiao; Pere Barlet-Ros; Albert Cabellos-Aparicio (HPSR, 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)

ENERO: Efficient Real-Time Routing Optimization. - Paul Almasan; Shihan Xiao; Xiangle Cheng; Xiang Shi; Pere Barlet-Ros; Albert Cabellos-Aparicio (CoRR, 2021)

Fast Traffic Engineering by Gradient Descent with Learned Differentiable Routing. - Krzysztof Rusek; Paul Almasan; José Suárez-Varela; Piotr Cholda; Pere Barlet-Ros; Albert Cabellos-Aparicio (CNSM, 2022)

Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies. - Carlos Güemes-Palau; Paul Almasan; Shihan Xiao; Xiangle Cheng; Xiang Shi; Pere Barlet-Ros; Albert Cabellos-Aparicio (NOMS, 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 002; Laurent Ciavaglia; Leon Wong; Vishnu Ram; Shihan Xiao; et al. (IEEE Commun. Mag., 2022)

ENERO: Efficient real-time WAN routing optimization with Deep Reinforcement Learning. - Paul Almasan; Shihan Xiao; Xiangle Cheng; Xiang Shi; Pere Barlet-Ros; Albert Cabellos-Aparicio (Comput. Networks, 2022)

Deep reinforcement learning meets graph neural networks: Exploring a routing optimization use case. - Paul Almasan; José Suárez-Varela; Krzysztof Rusek; Pere Barlet-Ros; Albert Cabellos-Aparicio (Comput. Commun., 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 002; Laurent Ciavaglia; Leon Wong; Vishnu Ram; Shihan Xiao; et al. (CoRR, 2022)

Enhancing 5G Radio Planning with Graph Representations and Deep Learning. - Paul Almasan; José Suárez-Varela; Andra Lutu; Albert Cabellos-Aparicio; Pere Barlet-Ros (5G-MeMZ@SIGCOMM, 2023)

Atom: Neural Traffic Compression with Spatio-Temporal Graph Neural Networks. - Paul Almasan; Krzysztof Rusek; Shihan Xiao; Xiang Shi; Xiangle Cheng; Albert Cabellos-Aparicio; Pere Barlet-Ros (GNNet@CoNEXT, 2023)

Leveraging Spatial and Temporal Correlations for Network Traffic Compression. - Paul Almasan; Krzysztof Rusek; Shihan Xiao; Xiang Shi; Xiangle Cheng; Albert Cabellos-Aparicio; Pere Barlet-Ros (CoRR, 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)

Leveraging graph neural networks for optimization and traffic compression in network digital twins - Paul Almasan (2024)