Fine-tuning Graph Neural Networks by Preserving Graph Generative Patterns
The study focuses on the challenge of structural divergence in pre-training and fine-tuning Graph Neural Networks (GNNs). It identifies the root cause as the discrepancy of generative patterns between pre-training…
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