Managing, evaluating, and tuning hyperparameters and complex graph models directly in code can be both time-consuming and overwhelming. Discover how to define and utilize a JSON-based representation of model and training parameters to design, train, and validate a graph neural network.
Share this post
Plug & Play Training for Graph Convolutional…
Share this post
Managing, evaluating, and tuning hyperparameters and complex graph models directly in code can be both time-consuming and overwhelming. Discover how to define and utilize a JSON-based representation of model and training parameters to design, train, and validate a graph neural network.