Inferring halo masses with Graph Neural Networks

Inferring halo masses with Graph Neural Networks

16 November 2021

Pablo Villanueva-Domingo

F. Villaescusa-Navarro

D. Anglés-Alcázar

M. Vogelsberger

Papers citing "Inferring halo masses with Graph Neural Networks"

9 / 9 papers shown

Title
Weighing the Milky Way and Andromeda with Artificial Intelligence Pablo Villanueva-Domingo F. Villaescusa-Navarro S. Genel D. Anglés-Alcázar L. Hernquist F. Marinacci D. Spergel M. Vogelsberger D. Narayanan 21 6 0 29 Nov 2021
The CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial Intelligence F. Villaescusa-Navarro S. Genel D. Anglés-Alcázar L. Thiele R. Davé ... Luis Fernando Machado Poletti Valle L. A. Perez D. Nagai N. Battaglia M. Vogelsberger 40 48 0 22 Sep 2021
Captum: A unified and generic model interpretability library for PyTorch Narine Kokhlikyan Vivek Miglani Miguel Martin Edward Wang B. Alsallakh ... Alexander Melnikov Natalia Kliushkina Carlos Araya Siqi Yan Orion Reblitz-Richardson FAtt 133 841 0 16 Sep 2020
Mass Estimation of Galaxy Clusters with Deep Learning I: Sunyaev-Zel'dovich Effect N. Gupta C. Reichardt 40 14 0 13 Mar 2020
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 223 4,339 0 06 Mar 2019
Dynamic Graph CNN for Learning on Point Clouds Yue Wang Yongbin Sun Ziwei Liu Sanjay E. Sarma M. Bronstein Justin Solomon GNN 3DPC 255 6,144 0 24 Jan 2018
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space C. Qi L. Yi Hao Su Leonidas Guibas 3DPC 3DV 346 11,105 0 07 Jun 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas Guibas 3DH 3DPC 3DV PINN 481 14,309 0 02 Dec 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 614 29,051 0 09 Sep 2016