Unifying local and non-local signal processing with graph CNNs

J. S. Garofolo, L. F. Lamel, W. M. Fisher, J. G. Fiscus, and D. S. Pallett, “DARPA TIMIT acoustic-phonetic continous speech corpus CD-ROM. nist speech disc 1-1.1,” NASA STI/Recon technical report n , vol. 93, 1993

Original

1993

Earlier work this paper cites.

F. Chung, Spectral graph theory . Amer Mathematical Society, 1997, no. 92

1997

Earlier work this paper cites.

A. Criminisi, P. Pérez, and K. Toyama, “Region filling and object removal by exemplar-based image inpainting,” IEEE Trans. Image Process. , vol. 13, no. 9, pp. 1200–1212, 2004

2004

Earlier work this paper cites.

A. Buades, B. Coll, and J.-M. Morel, “A non-local algorithm for image denoising,” in CVPR , 2005

2005

Earlier work this paper cites.

H. Jégou, M. Douze, and C. Schmid, “Hamming embedding and weak geometry consistency for large scale image search,” in ECCV , 2008

2008

Earlier work this paper cites.

F. Scarselli, M. Gori, A. C. Tsoi, M. Hagenbuchner, and G. Monfardini, “The graph neural network model,” IEEE Trans. on Neural Networks , vol. 20, no. 1, pp. 61–80, 2009

2009

Earlier work this paper cites.

R. Talmon, I. Cohen, and S. Gannot, “Transient noise reduction using nonlocal diffusion filters,” IEEE Transactions on Audio, Speech, and Language Processing , vol. 19, no. 6, pp. 1584–1599, 2011

2011

Earlier work this paper cites.

D. K. Hammond, P. Vandergheynst, and R. Gribonval, “Wavelets on graphs via spectral graph theory,” Appl. Comput. Harmon. Anal. , vol. 30, no. 2, pp. 129–150, 2011

2011

Earlier work this paper cites.

A. Krizhevsky, I. Sutskever, and G. E. Hinton, “Imagenet classification with deep convolutional neural networks,” in NIPS , 2012

2012

Earlier work this paper cites.

D. Shuman, S. Narang, P. Frossard, A. Ortega, and P. Vandergheynst, “The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains,” IEEE Signal Processing Magazine , vol. 30, no. 3, pp. 83–98, 2013

2013

Earlier work this paper cites.

S. Ferradans, N. Papadakis, J. Rabin, G. Peyré, and J.-F. Aujol, “Regularized discrete optimal transport,” in SSVM , 2013

2013

Cited alongside, same era.

J. Bruna, W. Zaremba, A. Szlam, and Y. LeCun, “Spectral networks and locally connected networks on graphs,” in ICLR , 2014

2014

Cited alongside, same era.

K. Simonyan and A. Zisserman, “Very deep convolutional networks for large-scale image recognition,” arXiv:1409.1556 , 2014

Original

2014

Cited alongside, same era.

O. Frigo, N. Sabater, V. Demoulin, and P. Hellier, “Optimal transportation for example-guided color transfer,” in ACCV , 2014

2014

Cited alongside, same era.

D. P. Kingma and J. Ba, “Adam: A method for stochastic optimization,” arXiv:1412.6980 , 2014

Original

2014

Cited alongside, same era.

M. M. Bronstein, J. Bruna, Y. LeCun, A. Szlam, and P. Vandergheynst, “Geometric deep learning: Going beyond Euclidean data,” arXiv:1611.08097 , 2016

Original

2016

Later among the works it cites.

M. Defferrard, X. Bresson, and P. Vandergheynst, “Convolutional neural networks on graphs with fast localized spectral filtering,” in NIPS , 2016

2016

Later among the works it cites.

T. N. Kipf and M. Welling, “Semi-supervised classification with graph convolutional networks,” arXiv:1609.02907 , 2016

Original

2016

Later among the works it cites.

J. Atwood and D. Towsley, “Diffusion-convolutional neural networks,” in NIPS , 2016

2016

Later among the works it cites.

M. Niepert, M. Ahmed, and K. Kutzkov, “Learning convolutional neural networks for graphs,” in ICML , 2016

2016

Later among the works it cites.