DataFunSummit
May 12, 2022 · Artificial Intelligence
DGL: A Deep Graph Library for Efficient Graph Neural Network Development
This article introduces DGL, a deep‑graph library that bridges graph‑algorithm abstractions with existing tensor frameworks, explains the fundamentals of graph neural networks, their message‑passing formulation, and demonstrates how DGL’s flexible APIs, operator fusion, and sampling components enable high‑performance training on both small and massive graphs.
Deep Graph LibraryGraph Neural NetworksLarge‑Scale Graph Training
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