• Computer Science, Mathematics
  • Published in NIPS 2016

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

@inproceedings{Defferrard2016ConvolutionalNN,
  title={Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering},
  author={Micha{\"e}l Defferrard and Xavier Bresson and Pierre Vandergheynst},
  booktitle={NIPS},
  year={2016}
}
In this work, we are interested in generalizing convolutional neural networks (CNNs) from low-dimensional regular grids, where image, video and speech are represented, to high-dimensional irregular domains, such as social networks, brain connectomes or words' embedding, represented by graphs. We present a formulation of CNNs in the context of spectral graph theory, which provides the necessary mathematical background and efficient numerical schemes to design fast localized convolutional filters… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 913 CITATIONS

Classification of Medical Images with Synergic Graph Convolutional Networks

  • 2019 IEEE 35th International Conference on Data Engineering Workshops (ICDEW)
  • 2019
VIEW 10 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

DFNets: Spectral CNNs for Graphs with Feedback-Looped Filters

  • NeurIPS 2019
  • 2019
VIEW 24 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

Semi-Supervised Graph Classification: A Hierarchical Graph Perspective

  • WWW
  • 2019
VIEW 6 EXCERPTS
CITES METHODS
HIGHLY INFLUENCED

Deep learning on attributed graphs

VIEW 7 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

GraphRAD : A Graph-based Risky Account Detection System

VIEW 8 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

FILTER CITATIONS BY YEAR

2016
2020

CITATION STATISTICS

  • 202 Highly Influenced Citations

  • Averaged 300 Citations per year from 2017 through 2019

  • 36% Increase in citations per year in 2019 over 2018

References

Publications referenced by this paper.
SHOWING 1-10 OF 36 REFERENCES