The publication aggregates and standardizes publications related to graph networks. Its the foundation of the publications "Learning to Simulate Complex Physics with Graph Networks" and "Learning Mesh-Based Simulation with Graph Networks" with application of graph networks to physics simulations.
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%0 Journal Article
%1 journals/corr/abs-1806-01261
%A Battaglia, Peter W.
%A Hamrick, Jessica B.
%A Bapst, Victor
%A Sanchez-Gonzalez, Alvaro
%A Zambaldi, Vinícius Flores
%A Malinowski, Mateusz
%A Tacchetti, Andrea
%A Raposo, David
%A Santoro, Adam
%A Faulkner, Ryan
%A Gülçehre, Çaglar
%A Song, H. Francis
%A Ballard, Andrew J.
%A Gilmer, Justin
%A Dahl, George E.
%A Vaswani, Ashish
%A Allen, Kelsey R.
%A Nash, Charles
%A Langston, Victoria
%A Dyer, Chris
%A Heess, Nicolas
%A Wierstra, Daan
%A Kohli, Pushmeet
%A Botvinick, Matthew
%A Vinyals, Oriol
%A Li, Yujia
%A Pascanu, Razvan
%D 2018
%J CoRR
%K
%T Relational inductive biases, deep learning, and graph networks.
%U http://dblp.uni-trier.de/db/journals/corr/corr1806.html#abs-1806-01261
%V abs/1806.01261
@article{journals/corr/abs-1806-01261,
added-at = {2022-05-18T16:26:07.000+0200},
author = {Battaglia, Peter W. and Hamrick, Jessica B. and Bapst, Victor and Sanchez-Gonzalez, Alvaro and Zambaldi, Vinícius Flores and Malinowski, Mateusz and Tacchetti, Andrea and Raposo, David and Santoro, Adam and Faulkner, Ryan and Gülçehre, Çaglar and Song, H. Francis and Ballard, Andrew J. and Gilmer, Justin and Dahl, George E. and Vaswani, Ashish and Allen, Kelsey R. and Nash, Charles and Langston, Victoria and Dyer, Chris and Heess, Nicolas and Wierstra, Daan and Kohli, Pushmeet and Botvinick, Matthew and Vinyals, Oriol and Li, Yujia and Pascanu, Razvan},
biburl = {https://www.bibsonomy.org/bibtex/2e93579513f65dfb6540682154c491f93/georgheyer},
ee = {http://arxiv.org/abs/1806.01261},
interhash = {59387904533c2f1b8aea757c0cb31174},
intrahash = {e93579513f65dfb6540682154c491f93},
journal = {CoRR},
keywords = {},
timestamp = {2022-05-18T16:26:07.000+0200},
title = {Relational inductive biases, deep learning, and graph networks.},
url = {http://dblp.uni-trier.de/db/journals/corr/corr1806.html#abs-1806-01261},
volume = {abs/1806.01261},
year = 2018
}