Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Unifying local and non-local signal processing with graph CNNs
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
Kernel-based Reconstruction of Graph Signals
Local-set-based Graph Signal Reconstruction
Adaptive Graph Convolutional Neural Networks
Deep Convolutional Networks on Graph-Structured Data
Stationary Signal Processing on Graphs
margin : uncovering deep neural networks using graph signal analysis .
Higher-order Graph Convolutional Networks
Improving Graph Convolutional Networks with Non-Parametric Activation Functions
Deep neural networks on graph signals for brain imaging analysis
Spectral Networks and Deep Locally Connected Networks on Graphs
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs
Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs
DGCNN: Disordered Graph Convolutional Neural Network Based on the Gaussian Mixture Model
Sampling theory for graph signals
Dynamic Filters in Graph Convolutional Networks
Simplifying Graph Convolutional Networks
Signal processing on graphs: Performance of graph structure estimation
Deep Learning of Graphs with Ngram Convolutional Neural Networks
Deep Feature Learning for Graphs
Deep learning for undersampled MRI reconstruction
Spectral Networks and Deep Locally Connected Networks on Graphs
Human category learning 2.0
Alive-Infer: data-driven precondition inference for peephole optimizations in LLVM
GeoClustering: A web service for geospatial clustering