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Maria del Carmen Misa Moreira

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#graph neural networks Open access Sep 2026

TOWARDS FAULT PROPAGATION MODELING IN THE WLCG USING GRAPH NEURAL NETWORKS

Reliable data movement is essential to the Worldwide LHC Computing Grid. This project asks whether FTS queues that share a storage endpoint contain useful information about one another’s future state. I process 52,037,899 raw queue records from January 2026 into 23,820,642 sparse queue states sampled every 2 minutes. A...

Pavel Khudov Yakovlev, Maria del Carmen Misa Moreira, Sofia Vallecorsa · 0 citations
#graph neural networks Open access Sep 2026

TOWARDS FAULT PROPAGATION MODELING IN THE WLCG USING GRAPH NEURAL NETWORKS

Reliable data movement is essential to the Worldwide LHC Computing Grid. This project asks whether FTS queues that share a storage endpoint contain useful information about one another’s future state. I process 52,037,899 raw queue records from January 2026 into 23,820,642 sparse queue states sampled every 2 minutes. A...

Pavel Khudov Yakovlev, Maria del Carmen Misa Moreira, Sofia Vallecorsa · 0 citations

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