Fetching the paper…
Reading the bibliography…
We generalize the scattering transform to graphs and consequently construct a convolutional neural network on graphs.
C. Davis and W. M. Kahan, “The rotation of eigenvectors by a perturbation. III,” SIAM Journal on Numerical Analysis
1970
Earlier work this paper cites.
SIAM, 1992
I. Daubechies, Ten lectures on wavelets · 1992
Earlier work this paper cites.
Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner, “Gradient-based learning applied to document recognition,” Proceedings of the IEEE
1998
Earlier work this paper cites.
Academic press, 1999
S. Mallat, A wavelet tour of signal processing · 1999
Earlier work this paper cites.
R. R. Coifman and M. Maggioni, “Diffusion wavelets,” Applied and Computational Harmonic Analysis
2006
Earlier work this paper cites.
S. Mahadevan and M. Maggioni, “Value function approximation with diffusion wavelets and Laplacian eigenfunctions,” in Advances in Neural Information Processing Systems
2006
Earlier work this paper cites.
P. Sen, G. M. Namata, M. Bilgic, L. Getoor, B. Gallagher, and T. Eliassi-Rad, “Collective classification in network data,” AI Magazine
2008
Earlier work this paper cites.
D. Lazer, A. S. Pentland, L. Adamic, S. Aral, A. L. Barabasi, D. Brewer, N. Christakis, N. Contractor, J. Fowler, M. Gutmann, et al
2009
Earlier work this paper cites.
S. Fortunato, “Community detection in graphs,” Physics reports
2010
Earlier work this paper cites.
D. K. Hammond, P. Vandergheynst, and R. Gribonval, “Wavelets on graphs via spectral graph theory,” Applied and Computational Harmonic Analysis
2011
Earlier work this paper cites.
S. Mallat, “Group invariant scattering,” Communications on Pure and Applied Mathematics
2012
Earlier work this paper cites.
2013
Earlier work this paper cites.
J. Bruna and S. Mallat, “Invariant scattering convolution networks,” IEEE transactions on pattern analysis and machine intelligence
2013
Cited alongside, same era.
A. Sandryhaila and J. M. F. Moura, “Discrete signal processing on graphs: Frequency analysis,” IEEE Transactions on Signal Processing
2014
Cited alongside, same era.
Y. Yu, T. Wang, and R. J. Samworth, “A useful variant of the Davis–Kahan theorem for statisticians,” Biometrika
2014
Cited alongside, same era.
X. Chen, X. Cheng, and S. Mallat, “Unsupervised deep Haar scattering on graphs,” in Advances in Neural Information Processing Systems
2014
Cited alongside, same era.
J. Masci, D. Boscaini, M. Bronstein, and P. Vandergheynst, “Geodesic convolutional neural networks on Riemannian manifolds,” in Proceedings of the IEEE international conference on computer vision workshops
2015
2016
Later among the works it cites.
M. M. Bronstein, J. Bruna, Y. LeCun, A. Szlam, and P. Vandergheynst, “Geometric deep learning: going beyond Euclidean data,” IEEE Signal Processing Magazine
2017
Later among the works it cites.
2017
Later among the works it cites.
2017
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
D. K. Duvenaud, D. Maclaurin, J. Iparraguirre, R. Bombarell, T. Hirzel, A. Aspuru-Guzik, and R. P. Adams, “Convolutional networks on graphs for learning molecular fingerprints,” in Advances in neural information processing systems
2015
Cited alongside, same era.
D. I. Shuman, B. Ricaud, and P. Vandergheynst, “Vertex-frequency analysis on graphs,” Applied and Computational Harmonic Analysis
2016
Cited alongside, same era.
M. Edwards and X. Xie, “Graph based convolutional neural network,” arXiv preprint arXiv:1609.08965
2016
Cited alongside, same era.
M. Defferrard, X. Bresson, and P. Vandergheynst, “Convolutional neural networks on graphs with fast localized spectral filtering,” in Advances in Neural Information Processing Systems
2016
Cited alongside, same era.
2016
Cited alongside, same era.
MIT Press, 2016
I. Goodfellow, Y. Bengio, and A. Courville, Deep Learning · 2016
Cited alongside, same era.
2017
Later among the works it cites.
2017
Later among the works it cites.
W. Czaja and W. Li, “Analysis of time-frequency scattering transforms,” Applied and Computational Harmonic Analysis
2017
Later among the works it cites.
2017
Later among the works it cites.
S. Sabour, N. Frosst, and G. E. Hinton, “Dynamic routing between capsules,” in Advances in Neural Information Processing Systems
2017
Later among the works it cites.
2018
Closest in time.
E. Abbe, “Community detection and stochastic block models: Recent developments,” Journal of Machine Learning Research
2018
Closest in time.