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Nicolas Heess — most-cited papers & profile · Graph Learning
← authors
·
overview
Nicolas Heess
37
papers ·
1651
citations ·
57
h-index
Google (United Kingdom)
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Learning-Order Autoregressive Models with Application to Molecular Graph Generation
2025
Graph networks as learnable physics engines for inference and control
2018
Relational inductive biases, deep learning, and graph networks
2018
Credit Assignment Techniques in Stochastic Computation Graphs
2019
Neural Production Systems: Learning Rule-Governed Visual Dynamics
2021
Top co-authors
Alvaro Sanchez-Gonzalez
· 2
Adam Santoro
· 1
Andrea Tacchetti
· 1
Andrew Ballard
· 1
Aniket Didolkar
· 1
Anirudh Goyal
· 1
Arthur Gretton
· 1
Ashish Vaswani
· 1
Caglar Gulcehre
· 1
Charles Blundell
· 1
Charles Nash
· 1
Chris Dyer
· 1
Topics
cs.LG
cs.AI
stat.ML
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