Quantum walk neural networks with feature dependent coins

• Published in: Applied network science Vol. 4; no. 1; pp. 1 - 16
• Main Authors: Dernbach, Stefan, Mohseni-Kabir, Arman, Pal, Siddharth, Gepner, Miles, Towsley, Don
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 23.09.2019; Springer Nature B.V; SpringerOpen
• Subjects: Cognitive tasks; Coins; Complexity; Computer Appl. in Social and Behavioral Sciences; Computer Science; Graph neural networks; Learning; Neural networks; Quantum random walks; Random walk; Random walk theory; Random walks; Simulation and Modeling; Special Issue of the 7th International Conference on Complex Networks and Their Applications; Random walks; Quantum random walks; Graph neural networks

Recent neural networks designed to operate on graph-structured data have proven effective in many domains. These graph neural networks often diffuse information using the spatial structure of the graph. We propose a quantum walk neural network that learns a diffusion operation that is not only depen...