Data Models

Fine-tuned Personality Federated Learning for Graph Data
Federated Learning (FL) empowers multiple clients to collaboratively learn a global generalization model without the need to share …
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Role-Oriented Dynamic Network Embedding
Exploring the differences and important patterns of nodes from the perspective of roles has gradually developed into an interesting and …
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An Effective and Robust Framework by Modeling Correlations of Multiplex Network Embedding
The dependencies across different layers are an important property in multiplex networks and a few methods have been proposed to learn …
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