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Albert Cabellos-Aparicio — most-cited papers & profile · Graph Learning
← authors
·
overview
Albert Cabellos-Aparicio
19
papers ·
62
citations
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Detecting Contextual Network Anomalies with Graph Neural Networks
2023 · 7 citations
Scaling Graph-based Deep Learning models to larger networks
2021 · 5 citations
Topological Graph Signal Compression
2023 · 1 citations
Bridging the Gap Between Simulated and Real Network Data Using Transfer Learning
2025
Ordered Topological Deep Learning: a Network Modeling Case Study
2025
RouteNet: Leveraging Graph Neural Networks for network modeling and optimization in SDN
2019
Deep Reinforcement Learning meets Graph Neural Networks: exploring a routing optimization use case
2019
The Graph Neural Networking Challenge: A Worldwide Competition for Education in AI/ML for Networks
2021
Unveiling the potential of Graph Neural Networks for robust Intrusion Detection
2021
IGNNITION: Bridging the Gap Between Graph Neural Networks and Networking Systems
2021
Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities
2021
RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation
2022
RouteNet-Fermi: Network Modeling with Graph Neural Networks
2022
GraphCC: A Practical Graph Learning-based Approach to Congestion Control in Datacenters
2023
Building a Graph-based Deep Learning network model from captured traffic traces
2023
Top co-authors
Pere Barlet-Ros
· 15
Jos\'e Su\'arez-Varela
· 11
Miquel Ferriol-Galm\'es
· 7
Krzysztof Rusek
· 6
Shihan Xiao
· 6
Guillermo Bern\'ardez
· 4
Paul Almasan
· 4
Xiangle Cheng
· 4
Carlos G\"uemes-Palau
· 3
David Pujol-Perich
· 3
Xiang Shi
· 3
Bo Wu
· 2
Topics
cs.NI
cs.LG
cs.AI
Uncategorized
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cs.GL
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