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Textual network embedding leverages rich text information associated with the network to learn low-dimensional vectorial representations of vertices.
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Distributed representations of words and phrases and their compositionality
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Recursive deep models for semantic compositionality over a sentiment treebank
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Diffusion-convolutional neural networks
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Structural deep network embedding
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Baseline needs more love: On simple word-embedding-based models and associated pooling mechanisms
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