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EvalNE is an open source Python library designed for assessing and comparing the performance of Network Embedding methods on downstream tasks such as Link Prediction and Node Classification. It provides automation for hyperparameter tuning, model validation, sampling, and results reporting, and can be used as both a command line tool and an API.
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