Distributed Methods
Dorylus
Introduced by Thorpe et al. in Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless ThreadsDorylus is a distributed system for training graph neural networks which uses cheap CPU servers and Lambda threads. It scales to large billion-edge graphs with low-cost cloud resources.
Source: Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads
Papers
| Paper | Code | Results | Date | Stars |
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Usage Over Time
Components
| Component | Type |
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| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
