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Computer networks are the foundation of modern digital infrastructure, facilitating global communication and data exchange.
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From networks to optimal higher-order models of complex systems
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Architectures of Topological Deep Learning: A Survey on Topological Neural Networks
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Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing. In The Eleventh International Conference on Learning Representations
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E (n) Equivariant Topological Neural Networks
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Hybrid Directed Hypergraph Learning and Forecasting of Skeleton-Based Human Poses
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Higher-order topological directionality and directed simplicial neural networks
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Position Paper: Challenges and Opportunities in Topological Deep Learning
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TopoTune: A Framework for Generalized Combinatorial Complex Neural Networks
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RouteNet-Gauss: Hardware-Enhanced Network Modeling with Machine Learning
Carlos Güemes-Palau, Miquel Ferriol-Galmés, Jordi Paillisse-Vilanova, Albert López-Brescó, Pere Barlet-Ros, and Albert Cabellos-Aparicio. 2025 · 2025
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Routenet-erlang: A graph neural network for network performance evaluation. In IEEE INFOCOM 2022-IEEE Conference on Computer Communications . IEEE, 2018–2027
Miquel Ferriol-Galmés, Krzysztof Rusek, José Suárez-Varela, Shihan Xiao, Xiang Shi, Xiangle Cheng, Bo Wu, Pere Barlet-Ros, and Albert Cabellos-Aparicio. 2022 · 2027
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