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Node Classification by Graph Convolutional Network

Graham Ganssle, Ph.D., P.G.

Leveraging the natural structure of data, graph convolutional networks produce optimal predictions of node properties.

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What Machine Learning Can Learn from Graph

Graphs are rich data structures that can be used to improve the accuracy and effectiveness of machine learning workflows.

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Node Classification by Graph Convolutional Network

Leveraging the natural structure of data, graph convolutional networks produce optimal predictions of node properties.

Graham Ganssle, Ph.D., P.G.

What Machine Learning Can Learn from Graph

Graphs are rich data structures that can be used to improve the accuracy and effectiveness of machine learning workflows.