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Found 4 papers, 2 papers with code
Application of Neural Networks for the Reconstruction of Supernova Neutrino Energy Spectra Following Fast Neutrino Flavor Conversions
Neutrinos can undergo fast flavor conversions (FFCs) within extremely dense astrophysical environments such as core-collapse supernovae (CCSNe) and neutron star mergers (NSMs).
Compact Dark Objects in Neutron Star Mergers
We estimate the long-lasting gravitational wave (GW) emission of compact dark objects following a binary neutron-star (NS) merger.
High Energy Astrophysical Phenomena High Energy Physics - Phenomenology
MVIN: Learning Multiview Items for Recommendation
From the entity view, the mixing layer contrasts layer-wise GCN information to further obtain comprehensive features from internal entity-entity interactions in the KG.
GraphSW: a training protocol based on stage-wise training for GNN-based Recommender Model
Recently, researchers utilize Knowledge Graph (KG) as side information in recommendation system to address cold start and sparsity issue and improve the recommendation performance.
