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spectral method

204 papers

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Co-occurring keywords

graph neural network (3962) community detection (276) stochastic block model (146) tensor decomposition (375) manifold learning (403) spectral analysis (239) semi-supervised learning (2341) matrix completion (356) unsupervised learning (3264) sample complexity (1169)

Papers

SAOT: An Enhanced Locality-Aware Spectral Transformer for Solving PDEs AAAI 2026
DeloopSGNN: Revisiting Spectral GNNs Through the Lens of Spatial Aggregation AAAI 2026
Learning Dynamical Coupled Operator For High-dimensional Black-box Partial Differential Equations IJCAI 2025
Learning from Similar Linear Representations: Adaptivity, Minimaxity, and Robustness JMLR 2025
LOHA: Direct Graph Spectral Contrastive Learning Between Low-Pass and High-Pass Views AAAI 2025
Iterative Multilingual Spectral Attribute Erasure EMNLP 2025
SSH: Sparse Spectrum Adaptation via Discrete Hartley Transformation NAACL 2025
Dynamic Spectral Graph Anomaly Detection AAAI 2025
Optimal Control Operator Perspective and a Neural Adaptive Spectral Method AAAI 2025
3D Test-time Adaptation via Graph Spectral Driven Point Shift ICCV 2025
Bridging Class Imbalance and Partial Labeling via Spectral-Balanced Energy Propagation for Skeleton-based Action Recognition ICCV 2025
Unveiling Differences in Generative Models: A Scalable Differential Clustering Approach CVPR 2025
Spectral Estimators for Structured Generalized Linear Models via Approximate Message Passing (Extended Abstract) COLT 2024
Solving Zero-Sum Markov Games with Continuous State via Spectral Dynamic Embedding NIPS 2024
Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits and Optimal Spectral Methods NIPS 2024
Spectral Meets Spatial: Harmonising 3D Shape Matching and Interpolation CVPR 2024
A non-backtracking method for long matrix and tensor completion COLT 2024
Graph Learning in 4D: A Quaternion-Valued Laplacian to Enhance Spectral GCNs AAAI 2024
Spectral-Based Graph Neural Networks for Complementary Item Recommendation AAAI 2024
Integrating Efficient Optimal Transport and Functional Maps For Unsupervised Shape Correspondence Learning CVPR 2024
Persistent Homology for High-dimensional Data Based on Spectral Methods NIPS 2024
Model-free Low-Rank Reinforcement Learning via Leveraged Entry-wise Matrix Estimation NIPS 2024
Non-Convex Joint Community Detection and Group Synchronization via Generalized Power Method AISTATS 2024
Exploiting Data Geometry in Machine Learning AAAI 2024
Modulate Your Spectrum in Self-Supervised Learning ICLR 2024