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Researchers at Georgia Tech Propose ‘LABOR’ (LAyer-neighBOR sampling), A New Sampling Algorithm-Based on Machine Learning
MarkTechPost www.marktechpost.com
The de facto models for representation learning on graph-structured data are Graph Neural Networks (GNN). As a result, they have begun to be implemented in production systems. These models pass messages along the direction of the edges in the given graph with nonlinearities between different layers, updating the node embeddings iteratively. The computed node embeddings […]
The post Researchers at Georgia Tech Propose ‘LABOR’ (LAyer-neighBOR sampling), A New Sampling Algorithm-Based on Machine Learning appeared first on MarkTechPost.
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