Superworkflow of Graph Neural Networks with K8S and Fugue
Summary
Superworkflows combine different computing frameworks and environments in one machine learning workflow, using Fugue as an abstraction layer and Kubernetes to host containerized Spark and PyTorch environments. Node2Vec, a graph neural network, runs on graphs with hundreds of millions of vertices and edges as the worked example, with task partitioning and efficiency benchmarks.
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