GSplit: Scaling Graph Neural Network Training on Large Graphs via Split-Parallelism

no code implementations • 24 Mar 2023 • Sandeep Polisetty, Juelin Liu, Kobi Falus, Yi Ren Fung, Seung-Hwan Lim, Hui Guan, Marco Serafini

Large-scale graphs with billions of edges are ubiquitous in many industries, science, and engineering fields such as recommendation systems, social graph analysis, knowledge base, material science, and biology.

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