Yoel Zeldes • 1/21/2019

Think your Data Different

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This article explores the application of deep learning to graph-structured data, explaining the need for Graph Neural Networks. It details how embeddings are generated from graph connectivity, drawing parallels to word2vec, and introduces the node2vec algorithm which uses random walks to convert graphs into a linear format for processing. A case study from Taboola's content recommendation system illustrates a practical use case.

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#Machine Learning #Deep Learning #Word2vec
Think your Data Different

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