Related references
Note: Only part of the references are listed.Graph convolutional neural networks via scattering
Dongmian Zou et al.
APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS (2020)
DeepGCNs: Can GCNs Go as Deep as CNNs?
Guohao Li et al.
2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019) (2019)
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Rex Ying et al.
KDD'18: PROCEEDINGS OF THE 24TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY & DATA MINING (2018)
Adversarial Attacks on Neural Networks for Graph Data
Daniel Zuegner et al.
KDD'18: PROCEEDINGS OF THE 24TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY & DATA MINING (2018)
Geometric Deep Learning Going beyond Euclidean data
Michael M. Bronstein et al.
IEEE SIGNAL PROCESSING MAGAZINE (2017)
Spectrum-Adapted Tight Graph Wavelet and Vertex-Frequency Frames
David I. Shuman et al.
IEEE TRANSACTIONS ON SIGNAL PROCESSING (2015)
Invariant Scattering Convolution Networks
Joan Bruna et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2013)
Group Invariant Scattering
Stephane Mallat
COMMUNICATIONS ON PURE AND APPLIED MATHEMATICS (2012)
Wavelets on graphs via spectral graph theory
David K. Hammond et al.
APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS (2011)