conftrace_

graph signal

24 papers

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Co-occurring keywords

graph neural network (3962) spectral graph neural network (11) graph signal processing (40) community detection (276) wavelet transform (134) spectral representation (15) graph wavelet (9) node classification (482) fused lasso (16) spectral analysis (239)

Papers

Robust Graph Neural Networks via Unbiased Aggregation NIPS 2024
Bures-Wasserstein Means of Graphs AISTATS 2024
WaveNet: Tackling Non-stationary Graph Signals via Graph Spectral Wavelets AAAI 2024
Variance estimation in graphs with the fused lasso JMLR 2024
A graphon-signal analysis of graph neural networks NIPS 2023
Graph Neural Networks with Learnable and Optimal Polynomial Bases ICML 2023
Joint Inference of Multiple Graphs from Matrix Polynomials JMLR 2022
Generalised Implicit Neural Representations NIPS 2022
How Powerful are Spectral Graph Neural Networks ICML 2022
Can Abnormality be Detected by Graph Neural Networks? IJCAI 2022
Maximizing and Satisficing in Multi-armed Bandits with Graph Information NIPS 2022
AZ-whiteness test: a test for signal uncorrelation on spatio-temporal graphs NIPS 2022
Graph Community Detection from Coarse Measurements: Recovery Conditions for the Coarsened Weighted Stochastic Block Model AISTATS 2021
Perturbing Eigenvalues with Residual Learning in Graph Convolutional Neural Networks ACML 2021
Learning Laplacian Matrix from Graph Signals with Sparse Spectral Representation JMLR 2021
Deconvolutional Networks on Graph Data NIPS 2021
Principal Subspace Estimation Under Information Diffusion AISTATS 2021
Offline detection of change-points in the mean for stationary graph signals. AISTATS 2021
Stochastic Deep Gaussian Processes over Graphs NIPS 2020
The DFS Fused Lasso: Linear-Time Denoising over General Graphs JMLR 2018
Efficient Minimax Signal Detection on Graphs NIPS 2014
Unsupervised Deep Haar Scattering on Graphs NIPS 2014
Why Steiner-tree type algorithms work for community detection AISTATS 2013
Wavelets on Graphs via Deep Learning NIPS 2013