EvalNE: A Framework for Evaluating Network Embeddings on Link Prediction

Alexandru Cristian Mara
Alexandru Cristian Mara

international conference on learning representations, 2019.

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Abstract:

In this paper we present EvalNE, a Python toolbox for evaluating network embedding methods on link prediction tasks. Link prediction is one of the most popular choices for evaluating the quality of network embeddings. However, the complexity of this task requires a carefully designed evaluation pipeline in order to provide consistent, rep...More

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