Physically-interpretable classification of biological network dynamics
for complex collective motions

v1v2 (latest)

Physically-interpretable classification of biological network dynamics for complex collective motions

13 May 2019

Yoshinobu Kawahara

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Papers citing "Physically-interpretable classification of biological network dynamics for complex collective motions"

9 / 9 papers shown

Title
A Simple Baseline Algorithm for Graph Classification Nathan de Lara Edouard Pineau 58 60 0 22 Oct 2018
Dynamic mode decomposition in vector-valued reproducing kernel Hilbert spaces for extracting dynamical structure among observables Keisuke Fujii Yoshinobu Kawahara 31 31 0 30 Aug 2018
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition Sijie Yan Yuanjun Xiong Dahua Lin GNN 241 4,172 0 23 Jan 2018
Deep learning for universal linear embeddings of nonlinear dynamics Bethany Lusch J. Nathan Kutz Steven L. Brunton 81 1,258 0 27 Dec 2017
Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition Naoya Takeishi Yoshinobu Kawahara Takehisa Yairi 49 373 0 12 Oct 2017
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting Ting Yu Haoteng Yin Zhanxing Zhu GNN AI4TS 127 3,724 0 14 Sep 2017
An Information Criterion for Inferring Coupling in Distributed Dynamical Systems Oliver M. Cliff M. Prokopenko Robert Fitch 43 14 0 23 May 2016
Propagation Kernels Marion Neumann Roman Garnett Christian Bauckhage Kristian Kersting 70 262 0 13 Oct 2014
Kernels for Vector-Valued Functions: a Review Mauricio A. Alvarez Lorenzo Rosasco Neil D. Lawrence GP 210 927 0 30 Jun 2011

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