This Latest Paper From Twitter and Oxford Research Shows That Feature Propagation is an Efficient and Scalable Approach for Handling Missing Features in Graph Machine Learning Applications

This research summary article is based on the paper 'ON THE UNREASONABLE EFFECTIVENESS OF FEATURE PROPAGATION IN LEARNING ON GRAPHS WITH MISSING NODE FEATURES' and Twitter's Engineering team's article 'Graph machine learning with missing node features'. Graph Neural Networks (GNNs) have proved to be effective in a wide range of issues and fields. GNNs commonly […]

The post This Latest Paper From Twitter and Oxford Research Shows That Feature Propagation is an Efficient and Scalable Approach for Handling Missing Features …

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