DeepWalk: Turning Graphs Into Features via Network Embeddings
Dr. Steven Skiena, Stony Brook University
Michael Hunger, Neo4j
Random walk algorithms help better model real-world scenarios, and when applied to graphs, can significantly improve machine learning. Learn how the Deepwalk supervised learning algorithm transfers deep learning techniques from natural language processing to network analysis, and explore the motivations behind graph-enhanced machine learning.
#MachineLearning #DeepWalk #NLP
Видео DeepWalk: Turning Graphs Into Features via Network Embeddings канала Neo4j
Michael Hunger, Neo4j
Random walk algorithms help better model real-world scenarios, and when applied to graphs, can significantly improve machine learning. Learn how the Deepwalk supervised learning algorithm transfers deep learning techniques from natural language processing to network analysis, and explore the motivations behind graph-enhanced machine learning.
#MachineLearning #DeepWalk #NLP
Видео DeepWalk: Turning Graphs Into Features via Network Embeddings канала Neo4j
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