spectral graph theory

FAST: Topology-Aware Frequency-Domain Distribution Matching for Coreset Selection CVPR 2026 Quantum Algorithms for Spectral Sums AAAI 2026 Mind Individual Information! Principal Graph Learning for Multimedia Recommendation AAAI 2025 On the Interplay between Graph Structure and Learning Algorithms in Graph Neural Networks ICML 2025 Protein Fitness Landscape: Spectral Graph Theory Perspective AISTATS 2025 ASWT-SGNN: Adaptive Spectral Wavelet Transform-Based Self-Supervised Graph Neural Network AAAI 2024 Graph Neural Networks and Arithmetic Circuits NeurIPS 2024 Schur Nets: exploiting local structure for equivariance in higher order graph neural networks NeurIPS 2024 Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling CVPR 2024 BASiS: Batch Aligned Spectral Embedding Space CVPR 2023 Feature Expansion for Graph Neural Networks ICML 2023 Neural Intrinsic Embedding for Non-Rigid Point Cloud Matching CVPR 2023 Signed Laplacian Graph Neural Networks AAAI 2023 EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks NeurIPS 2022 Deep Graph Spectral Evolution Networks for Graph Topological Evolution AAAI 2021 Power up! Robust Graph Convolutional Network via Graph Powering AAAI 2021 A Unified Framework for Structured Graph Learning via Spectral Constraints JMLR 2020 Digraph Inception Convolutional Networks NeurIPS 2020 FEW-SHOT LEARNING ON GRAPHS VIA SUPER-CLASSES BASED ON GRAPH SPECTRAL MEASURES ICLR 2020 Fiedler Regularization: Learning Neural Networks with Graph Sparsity ICML 2020 Graph Coarsening with Preserved Spectral Properties AISTATS 2020 Option Discovery in the Absence of Rewards with Manifold Analysis ICML 2020 Rotation Averaging and Strong Duality CVPR 2018 From which world is your graph NeurIPS 2017 Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering NeurIPS 2016