Ignnition: Bridging the gap between graph neural networks and networking systems

D Pujol-Perich, J Suárez-Varela, M Ferriol… - IEEE …, 2021 - ieeexplore.ieee.org
Recent years have seen the vast potential of graph neural networks (GNN) in many fields
where data is structured as graphs (eg, chemistry, recommender systems). In particular …
被引用次数：24 相关文章

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

D Pujol-Perich, J Suárez-Varela, M Ferriol, S Xiao… - IEEE Network, 2021 - dl.acm.org
Recent years have seen the vast potential of graph neural networks (GNN) in many fields
where data is structured as graphs (eg, chemistry, recommender systems). In particular …

IGNNITION: Bridging the gap between graph neural networks and networking systems

D Pujol Perich, JR Suárez-Varela Maciá… - IEEE …, 2021 - upcommons.upc.edu
Recent years have seen the vast potential of graph neural networks (GNN) in many fields
where data is structured as graphs (eg, chemistry, recommender systems). In particular …

IGNNITION: Bridging the Gap Between Graph Neural Networks and Networking Systems

D Pujol-Perich, J Suárez-Varela, M Ferriol… - arXiv e …, 2021 - ui.adsabs.harvard.edu
Recent years have seen the vast potential of Graph Neural Networks (GNN) in many fields
where data is structured as graphs (eg, chemistry, recommender systems). In particular …

IGNNITION: Bridging the Gap Between Graph Neural Networks and Networking Systems

D Pujol-Perich, J Suárez-Varela, M Ferriol… - arXiv preprint arXiv …, 2021 - arxiv.org
Recent years have seen the vast potential of Graph Neural Networks (GNN) in many fields
where data is structured as graphs (eg, chemistry, recommender systems). In particular …