Session

GraphFlow & Beam: Pythonic, Scalable GNN Pipelines

Learn how GraphFlow, a modular Python toolkit, utilizes Apache Beam to create efficient and scalable data pipelines for Graph Neural Networks (GNNs). We’ll demonstrate how GraphFlow on Beam tackles large-scale graph data challenges, including distributed ingestion from cloud databases, scalable feature normalization, graph sampling, and online model inference.

Yogesh Tewari

Senior Cloud Data Engineer at Google

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