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The domain of executing graph-structured data processing across a cluster of servers.
Distinct from Graph Computation: None of the candidates sufficiently cover the domain of distributed graph computation as a primary category
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Angel is a distributed machine learning framework and graph computation engine designed to train predictive models and execute algorithms across a cluster of servers. It functions as a distributed parameter server that synchronizes model weights and gradients across multiple machines to handle massive datasets. The system provides a production environment for model inference deployment to provide real-time predictions for end users. It integrates with Spark to run machine learning workflows and data processing pipelines through a compatible interface. The framework covers distributed graph c
Provides a framework for large-scale distributed graph computation and graph neural networks.