Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Kernel-based Reconstruction of Graph Signals
the emerging field of signal processing on graphs : extending high - dimensional data analysis to networks and other irregular domains .
Diffusion Scattering Transforms on Graphs
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
Graphulo: Linear Algebra Graph Kernels for NoSQL Databases
A graph-based method of newspaper article reconstruction
Time Series Prediction for Graphs in Kernel and Dissimilarity Spaces
Multi-dimensional Graph Fourier Transform
Marginalized Kernels Between Labeled Graphs
Fast hyperparameter selection for graph kernels via subsampling and multiple kernel learning
An experimental investigation of kernels on graphs for collaborative recommendation and semisupervised classification
Graph-Variate Signal Analysis: Framework and Applications
Sparse Representation With Kernels
Weisfeiler-Lehman Graph Kernels
Robust Principal Component Analysis on Graphs
Spectral embedding of graphs
Deep neural networks on graph signals for brain imaging analysis
A spectral graph wiener filter in graph fourier domain for improved image denoising
Measuring Graph Reconstruction Precisions: How Well Do Embeddings Preserve the Graph Proximity Structure?
Deep Feature Learning for Graphs
Learning Convolutional Neural Networks for Graphs
General Purpose Operating System Support for Multiple Page Sizes
Implementation of parallel multi-objective artificial bee colony algorithm based on spark platform
An Initial Approach to Reuse Non-Functional Requirements Knowledge
a review of image denoising algorithms , with a new one .
ARTICULATED-CABLE EXERCISE ROBOT ( PACER ) : NOVEL HOME-BASED CABLE-DRIVEN PARALLEL PLATFORM ROBOT FOR UPPER LIMB NEUROREHABILITATION