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OSDI '21 - P3: Distributed Deep Graph Learning at Scale
OSDI '21 - Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and
Graph Processing in Apache Spark with Scala: A Guide to GraphX (2026)
Spark+AI 2018 - Scaling Geographic Analytics with Azure Databricks and Spark GraphX
DS330.11 Exporting and Importing Graphs with Gremlin I/O | DataStax Enterprise 6 Graph
Pregel: The System That Changed Graph Processing - Graph Analytics for Big Data
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Last Updated: September 26, 2026
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Dorylus: Affordable, Scalable, and Accurate GNN Training with Filmed at 2016.dotscale.io on April 25th in Paris. More talks on thedotpost.com Writing Program Co-Chairs: Jason Flinn, University of Michigan, and Hank Levy, University of Washington View the full Ironclad Apps: End-to-End Security via Automated Full-System Verification Chris Hawblitzel, Jon Howell, and Jacob R. Lorch, ... Spark+AI 2018 - Scaling Geographic Analytics with Azure Databricks and Spark DataStaxAcademy DS330.11 Exporting and Importing
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