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Showing 1 to 2 of 2 for “"unsupervised node embedding"”.
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Predicting unknown adverse drug reactions using an unsupervised node embedding algorithm
… I developed a customizable framework based on unsupervised learning that allows users to run prediction tasks on different types of labeled graph data. The framework first creates a knowledge graph from the data and then uses an unsupervised algorithm to create embeddings (vector …
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The resurgence of structure in deep neural networks
Machine learning with deep neural networks ("deep learning") allows for learning complex features directly from raw input data, completely eliminating hand-crafted, "hard-coded" feature extraction from the learning pipeline. This has lead to state-of-the-art performance being achieved across …