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Accelerating and scaling temporal graph networks on the Graphcore IPU
In this post, we explore the implementation of temporal GNNs on a new architecture developed by Graphcore that is tailored to graph-structured workloads.
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Just a moment...
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Just a moment...
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Simple scalable graph neural networks | by Michael Bronstein | TDS Archive | Medium
Graph Neural Networks (GNNs) are a class of ML models that have emerged in recent years for learning on graph-structured data. GNNs have been successfully applied to model systems of relation and…