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Infrastructure Advancing Jupyter Notebooks at Twitter - Part 1

By Xiao Zhu and Mariko Wakabayashi on

Insights GNNs through the lens of differential geometry and algebraic topology

By Michael Bronstein on

Insights Speeding up Transformer CPU inference in Google Cloud

By Mariko Wakabayashi on

Insights Forecasting SQL query resource usage with machine learning

By Chunxu Tang on

Insights Graph Neural Networks as Neural Diffusion PDEs

By Ben Chamberlain and Michael Bronstein on

Insights Provably expressive graph neural networks

By Fabrizio Frasca and Michael Bronstein on

Insights Sharing learnings about our image cropping algorithm

By Rumman Chowdhury on

Insights ICLR Invited Talk on Geometric Deep Learning

By Michael Bronstein on

Insights Fusing Elasticsearch with neural networks to identify data

By Rakshit Wadhwa and Ryan Turner on

Insights Simple scalable graph neural networks

By Fabrizio Frasca and Michael Bronstein on

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