Intrinsic Geometric Information Transfer Learning on Multiple Graph-Structured Datasets

15 Nov 2016 Jaekoo Lee Hyunjae Kim Jongsun Lee Sungroh Yoon

Graphs provide a powerful means for representing complex interactions between entities. Recently, deep learning approaches are emerging for representing and modeling graph-structured data, although the conventional deep learning methods (such as convolutional neural networks and recurrent neural networks) have mainly focused on grid-structured inputs (image and audio)... (read more)

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