Comments (2)
arnoegw
commented on June 11, 2024
The basic advice for TF-GNN is to save the input graphs for training and validation in a TFRecord file, with each record being one GraphTensor serialized as a tf.Example proto. TensorFlow's usual techniques apply to reduce deserialization overhead at loading time: tune prefetch etc. of the tf.data pipeline and deserialize batches of input examples (after shuffling, if any). For more, please see https://github.com/tensorflow/gnn/blob/main/tensorflow_gnn/docs/guide/input_pipeline.md
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arnoegw
commented on June 11, 2024
I suppose this issue has been resolved, so I'm going to close it.
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