graph signal

Homophily Enhanced Graph Domain Adaptation ICML 2025 Learning signals defined on graphs with optimal transport and Gaussian process regression AISTATS 2025 Bures-Wasserstein Means of Graphs AISTATS 2024 Robust Graph Neural Networks via Unbiased Aggregation NeurIPS 2024 Variance estimation in graphs with the fused lasso JMLR 2024 WaveNet: Tackling Non-stationary Graph Signals via Graph Spectral Wavelets AAAI 2024 A graphon-signal analysis of graph neural networks NeurIPS 2023 Graph Neural Networks with Learnable and Optimal Polynomial Bases ICML 2023 AZ-whiteness test: a test for signal uncorrelation on spatio-temporal graphs NeurIPS 2022 Can Abnormality be Detected by Graph Neural Networks? IJCAI 2022 Generalised Implicit Neural Representations NeurIPS 2022 How Powerful are Spectral Graph Neural Networks ICML 2022 Joint Inference of Multiple Graphs from Matrix Polynomials JMLR 2022 Maximizing and Satisficing in Multi-armed Bandits with Graph Information NeurIPS 2022 Deconvolutional Networks on Graph Data NeurIPS 2021 Graph Community Detection from Coarse Measurements: Recovery Conditions for the Coarsened Weighted Stochastic Block Model AISTATS 2021 Learning Laplacian Matrix from Graph Signals with Sparse Spectral Representation JMLR 2021 Offline detection of change-points in the mean for stationary graph signals. AISTATS 2021 Perturbing Eigenvalues with Residual Learning in Graph Convolutional Neural Networks ACML 2021 Principal Subspace Estimation Under Information Diffusion AISTATS 2021 Stochastic Deep Gaussian Processes over Graphs NeurIPS 2020 The DFS Fused Lasso: Linear-Time Denoising over General Graphs JMLR 2018 Efficient Minimax Signal Detection on Graphs NeurIPS 2014 Unsupervised Deep Haar Scattering on Graphs NeurIPS 2014 Wavelets on Graphs via Deep Learning NeurIPS 2013