Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: Learning Graphs from Signal Observations under Smoothness Prior
Discrete Signal Processing on Graphs
Adaptive Sampling Towards Fast Graph Representation Learning
Graph-Variate Signal Analysis: Framework and Applications
Signal Representations on Graphs: Tools and Applications
Adaptive Diffusions for Scalable Learning over Graphs
Neural Graph Learning: Training Neural Networks Using Graphs
Kernels and Regularization on Graphs
margin : uncovering deep neural networks using graph signal analysis .
Uncertainty principles for signals defined on graphs: Bounds and characterizations
Frequency Analysis of Temporal Graph Signals
Error correcting graph matching: on the influence of the underlying cost function
The Multiscale Laplacian Graph Kernel
The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited
A Time-Vertex Signal Processing Framework: Scalable Processing and Meaningful Representations for Time-Series on Graphs
A Constrained, Weighted-L1 Minimization Approach for Joint Discovery of Heterogeneous Neural Connectivity Graphs
Graph Signal Processing: Overview, Challenges, and Applications
Learning Graph Convolution Filters from Data Manifold
Robust Graph Mode Seeking by Graph Shift
Semi-Supervised Learning on Graphs Based on Local Label Distributions
generalized optimization framework for graph - based semi - supervised learning .
Automatic detection of pain intensity
Software-defined network virtualization: an architectural framework for integrating SDN and NFV for service provisioning in future networks
Automated arabic text classification with P-Stemmer, machine learning, and a tailored news article taxonomy
Serious Games in language learning and teaching - a theoretical perspective
From Graphs to Manifolds - Weak and Strong Pointwise Consistency of Graph Laplacians