9
Wadda you mean Graph?

Graph, Data-science, and Deep Learning

Embed Size (px)

Citation preview

Page 1: Graph, Data-science, and Deep Learning

Wadda you mean, Graph?Wadda you mean Graph?

Page 2: Graph, Data-science, and Deep Learning
Page 3: Graph, Data-science, and Deep Learning
Page 4: Graph, Data-science, and Deep Learning
Page 5: Graph, Data-science, and Deep Learning

A graph is a graph is a graphwhat drugs will bind to protein X and not interact with drug Y?

Page 6: Graph, Data-science, and Deep Learning

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

Page 7: Graph, Data-science, and Deep Learning

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*

Page 8: Graph, Data-science, and Deep Learning

Graph-based Deep Learning

Page 9: Graph, Data-science, and Deep Learning

Graph-based Deep Learning