167 citations
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5 papers · 1 filter
AutoGraph: Automated Graph Neural Network
Yaoman Li, Irwin King
Graphs play an important role in many applications. Recently, Graph Neural Networks (GNNs) have achieved promising results in graph analysis tasks. Some state-of-the-art GNN models…
The RAdial Velocity Experiment (RAVE): Parameterisation of RAVE spectra based on convolutional neural networks
G. Guiglion, G. Matijevic, A. B. A. Queiroz +22
In the context of large spectroscopic surveys of stars, data-driven methods are key in deducing physical parameters for millions of spectra in a short time. Convolutional neural ne…
The infrared view of dust and molecules around V4334 Sgr (Sakurai's Object): a 20-year retrospective
A. Evans, R. D. Gehrz, C. E. Woodward +16
We present an analysis of the evolution of circumstellar dust and molecules in the environment of the very late thermal pulse object V4334 Sgr (Sakurai's Object) over a -ye…
The Sixth Data Release of the Radial Velocity Experiment (RAVE) -- II: Stellar Atmospheric Parameters, Chemical Abundances and Distances
Matthias Steinmetz, Guillaume Guiglion, Paul J. McMillan +58
We present part 2 of the 6th and final Data Release (DR6 or FDR) of the Radial Velocity Experiment (RAVE), a magnitude-limited (9<I<12) spectroscopic survey of Galactic stars rando…
The Sixth Data Release of the Radial Velocity Experiment (RAVE) -- I: Survey Description, Spectra and Radial Velocities
Matthias Steinmetz, Gal Matijevic, Harry Enke +59
The Radial Velocity Experiment (RAVE) is a magnitude-limited (9<I<12) spectroscopic survey of Galactic stars randomly selected in the southern hemisphere. The RAVE medium-resolutio…