claim
Raphael Carpintero Perez, Sébastien da Veiga, Josselin Garnier, and Brian Staber proposed a Gaussian process regression strategy for inputs consisting of large, sparse graphs with continuous node attributes, where outputs are signals defined on the nodes of the associated inputs.
Authors
Sources
- Track: Poster Session 3 - aistats 2026 virtual.aistats.org via serper
Referenced by nodes (1)
- Gaussian Process concept