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Johannes Brandstetter    @jo_brandstetter   ·   10/7/2021
Are you interested in graph structured data? Do you want to include geometry and physics to boost your GNNs? Check out our paper on Steerable E(3) Equivariant Graph Neural Networks. Joint work with @robdhess @ElisevanderPol @erikjbekkers @wellingmax https://t.co/exBcDhQ44k
 
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Max Welling    @wellingmax   ·   10/7/2021
The next generation fully steerable E(3) Equivariant Graph Neural Network. The paper also explains a neat unification between various equivariant message passing architectures. Fantastic work by @jo_brandstetter, @robdhess, @ElisevanderPol, @erikjbekkers.
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Max Welling    @wellingmax   ·   10/7/2021
The next generation of fully steerable E(3) equivariant GNN architecture. The paper also presents a neat unified view on equivariant message passing methods. Brilliant work by @jo_brandstetter, @robdhess, @ElisevanderPol, @erikjbekkers. (Johannes is on ELLIS exchange from Linz)
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Peter Battaglia    @PeterWBattaglia   ·   9/28/2021
We're hiring interns on the Structured Intelligence team at @DeepMind. If you're interested in richly structured data, representations and computations, eg., graph neural networks, probabilistic generative models, model-based reasoning, etc, please apply: https://t.co/fdSWqmnjBP
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Johannes Brandstetter    @jo_brandstetter   ·   10/7/2021
Through the lens of equivariant nonlinear convolutions, successful components of SEGNNs are exposed: (i) non-linear message aggregation improves classic linear (steerable) point convolutions; (ii) steerable messages improve recent equivariant networks that send invariant messages
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Johannes Brandstetter
Tenure Track Researcher at JKU Linz, currently ELLIS PostDoc at University of Amsterdam


Peter Battaglia
Research Scientist, DeepMind

Jian Tang
Assistant Professor at Mila. Working on deep learning for graphs with applications in knowledge graphs, Drug Discovery and material discovery.

Sebastian Starke
PhD Student in Animation @ University of Edinburgh. AI Scientist @ Electronic Arts in California. I bring characters to life with computer brains.