Structured Sequence Modeling with Graph Convolutional Recurrent Networks

• Published in: Neural Information Processing Vol. 11301; pp. 362 - 373
• Main Authors: Seo, Youngjoo, Defferrard, Michaël, Vandergheynst, Pierre, Bresson, Xavier
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 2018; Springer International Publishing
• Series: Lecture Notes in Computer Science
• Subjects: Graph neural networks; Language modeling; Recurrent neural networks

This paper introduces Graph Convolutional Recurrent Network (GCRN), a deep learning model able to predict structured sequences of data. Precisely, GCRN is a generalization of classical recurrent neural networks (RNN) to data structured by an arbitrary graph. The structured sequences can represent se...