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A performance characteristic curve for model evaluation: the application in information diffusion prediction
We propose a metric based on information entropy to quantify the randomness in diffusion data, then identify a scaling pattern between the randomness and the prediction accuracy of the model.
Author Name Disambiguation via Heterogeneous Network Embedding from Structural and Semantic Perspectives
Our proposal performs better in terms of name disambiguation accuracy compared with baselines and the ablation experiments demonstrate the improvement by feature selection and the meta-path level attention in our method.
Independent Asymmetric Embedding for Information Diffusion Prediction on Social Networks
The prediction for information diffusion on social networks has great practical significance in marketing and public opinion control.
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