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This implements the G-Prompt graph adapter module from the paper [https://arxiv.org/abs/2309.02848](Prompt-based Node Feature Extractor for Few-shot Learning on Text-Attributed Graphs), submitted as a project for CS224W.

It includes the implementation of the adapter module, unit tests to verify it, and an example training loop with a toy dataset to demonstrate the overall flow of how to train it.

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