spectral convolution

From Feature Learning to Spectral Basis Learning: A Unifying and Flexible Framework for Efficient and Robust Shape Matching CVPR 2026 A Dynamic Stiefel Graph Neural Network for Efficient Spatio-Temporal Time Series Forecasting IJCAI 2025 Deep Hypergraph Neural Networks with Tight Framelets AAAI 2025 HoloNets: Spectral Convolutions do extend to Directed Graphs ICLR 2024 Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering ICML 2023 Deep Fourier Up-Sampling NeurIPS 2022 Jump Self-attention: Capturing High-order Statistics in Transformers NeurIPS 2022 Low-Pass Graph Convolutional Network for Recommendation AAAI 2022 Mesh Convolutional Autoencoder for Semi-Regular Meshes of Different Sizes WACV 2022 Deep Shells: Unsupervised Shape Correspondence with Optimal Transport NeurIPS 2020 Fast Fourier Convolution NeurIPS 2020 DFNets: Spectral CNNs for Graphs with Feedback-Looped Filters NeurIPS 2019 SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation CVPR 2017