graph signal processing

MORGAN: To Bridge Mixture of Experts and Spectral Graph Neural Network AAAI 2026 Collaborative likelihood-ratio estimation over graphs JMLR 2025 Designing Specialized Two-Dimensional Graph Spectral Filters for Spatial-Temporal Graph Modeling AAAI 2025 Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain IJCAI 2025 LLM-based Online Prediction of Time-varying Graph Signals (Student Abstract) AAAI 2025 BLIS-Net: Classifying and Analyzing Signals on Graphs AISTATS 2024 FastMAC: Stochastic Spectral Sampling of Correspondence Graph CVPR 2024 Graph Convolutions Enrich the Self-Attention in Transformers! NeurIPS 2024 Improving protein optimization with smoothed fitness landscapes ICLR 2024 Interpretable Lightweight Transformer via Unrolling of Learned Graph Smoothness Priors NeurIPS 2024 Learning Cartesian Product Graphs with Laplacian Constraints AISTATS 2024 Robust Offline Active Learning on Graphs NeurIPS 2024 SEA-GWNN: Simple and Effective Adaptive Graph Wavelet Neural Network AAAI 2024 WaveNet: Tackling Non-stationary Graph Signals via Graph Spectral Wavelets AAAI 2024 From Trainable Negative Depth to Edge Heterophily in Graphs NeurIPS 2023 Graph classification Gaussian processes via spectral features UAI 2023 Graph Signal Sampling for Inductive One-Bit Matrix Completion: a Closed-form Solution ICLR 2023 GREAD: Graph Neural Reaction-Diffusion Networks ICML 2023 LogSpecT: Feasible Graph Learning Model from Stationary Signals with Recovery Guarantees NeurIPS 2023 Signed Laplacian Graph Neural Networks AAAI 2023 Adaptive Gaussian Processes on Graphs via Spectral Graph Wavelets AISTATS 2022 Learning Label Initialization for Time-Dependent Harmonic Extension. IJCAI 2022 Deep Graph Spectral Evolution Networks for Graph Topological Evolution AAAI 2021 Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning AAAI 2021 Spatio-Temporal Graph Scattering Transform ICLR 2021