Shypd.aiThe largest open index of AI toolsOpenNE is an open-source package for network embedding (NE) that provides a standard toolkit for network representation learning. It supports various NE models and enables training with GPUs for efficient processing.
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OpenNE is an open-source package designed for network embedding (NE) and serves as a comprehensive toolkit for network representation learning (NRL). It offers a standardized interface for both training and testing different NE models, ensuring scalability and flexibility. The package includes implementations of several typical NE models, such as DeepWalk, LINE, node2vec, GraRep, GCN, HOPE, GF, SDNE, and LE. A key feature is TADW, which allows for the incorporation of text attributes of nodes, enhancing the embedding process. OpenNE leverages TensorFlow, enabling GPU-accelerated training for improved performance. The toolkit also provides evaluation capabilities through node classification tasks, reporting Micro-F1, Macro-F1, and running time for various methods and datasets like Wiki and Cora.
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