graph, data-science, and deep learning
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Wadda you mean, Graph?Wadda you mean Graph?
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A graph is a graph is a graphwhat drugs will bind to protein X and not interact with drug Y?
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Graph-based Deep Learning
• Graphs + NLP = AWESOME
• Novel possibilities: Time is a fundamental factor for any analysis
• Graph (natural NLP and other fancy affinities) vs Matrices (complicated, not scalable algorithms/mathematics)
• Whiteboard/Visualization friendly
• Thin Application layer = Focus on the graph, not the software layer
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Richard Socher, Alex Perelygin, Jean Wu, Jason Chuang, Chris Manning, Andrew Ng and Chris Potts. 2013. Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank. EMNLP 2013
code & demo: http://nlp.stanford.edu/sentiment/index.html
Graph-based Deep Learning*
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Graph-based Deep Learning
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Graph-based Deep Learning