
By reformulating the model selection problem as a graph learning task, the proposed TransferGraph framework effectively captures the inherent relationships between models and datasets, enabling accurate prediction of fine-tuning performance and efficient selection of pre-trained models.


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leveraging-graph-learning-to-efficiently-select-pre-trained-models-for-fine-tuning


Leveraging Graph Learning to Efficiently Select Pre-Trained Models for Fine-Tuning
