A hierarchical graph neural network combining stock, industry, and market signals reportedly predicts trading-curb stock types with about 64% accuracy, but the missing experimental details make the claim unverifiable.
GCNET: graph -based prediction of stock price movement using graph convolutional network[J]
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Stock Type Prediction Model Based on Hierarchical Graph Neural Network
A hierarchical graph neural network combining stock, industry, and market signals reportedly predicts trading-curb stock types with about 64% accuracy, but the missing experimental details make the claim unverifiable.