Curriculum Learning for Heterogeneous Star Network Embedding via Deep Reinforcement LearningEI

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Learning node representations for networks has attracted much attention recently due to its effectiveness in a variety of applications. This paper focuses on learning node representations for heterogeneous star networks, which have a center node type linked with multiple attribute node types through different types of edges. In heterogeneous star networks, we observe that the training order of different types of edges affects the learning performance significantly. Therefore we study learning curricula for node representation learning...更多

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WSDM, pp. 468-476, 2018.

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