@kieralyen
Optimization of Subgraph Sampling Strategies for False Detection in Graph Neural Networks During Cross-Chain Message Verification
This study optimizes subgraph sampling strategies for false detection in graph neural networks during cross-chain message verification. By improving sampling efficiency and accuracy, we enhance verification reliability, ensuring secure and efficient cross-chain communication in blockchain ecosystems.
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