graph laplacian

109 papers

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Co-occurring keywords

spectral clustering (304) semi-supervised learning (2331) manifold learning (402) dimensionality reduction (720) spectral method (204) spectral analysis (236) representation learning (6174) graph neural network (3945) label propagation (185) random walk (161)

Papers

LOCATEdit: Graph Laplacian Optimized Cross Attention for Localized Text-Guided Image Editing ICCV 2025

Nonparametric Regression on Random Geometric Graphs Sampled from Submanifolds JMLR 2025

Spectral Informed Mamba for Robust Point Cloud Processing CVPR 2025

Decentralized Asynchronous Optimization with DADAO allows Decoupling and Acceleration JMLR 2025

Hallucination Detection in LLMs Using Spectral Features of Attention Maps EMNLP 2025

Spectral State Space Model for Rotation-Invariant Visual Representation Learning CVPR 2025

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing IJCAI 2025

LGA-Net: Learning Local and Global Affinities for Sparse Scribble based Image Colorization ICCV 2025

Efficient Graph Laplacian Estimation by Proximal Newton AISTATS 2024

Learning Cartesian Product Graphs with Laplacian Constraints AISTATS 2024

Scalable Algorithms for Individual Preference Stable Clustering AISTATS 2024

Fermat Distances: Metric Approximation, Spectral Convergence, and Clustering Algorithms JMLR 2024

On the Robustness of Spectral Algorithms for Semirandom Stochastic Block Models NIPS 2024

Efficiently learning the graph for semi-supervised learning UAI 2023

The Persistent Laplacian for Data Science: Evaluating Higher-Order Persistent Spectral Representations of Data ICML 2023

Randomized Schur Complement Views for Graph Contrastive Learning ICML 2023

Learning Coherent Clusters in Weakly-Connected Network Systems L4DC 2023

Deep Laplacian-based Options for Temporally-Extended Exploration ICML 2023

Bayesian Spiked Laplacian Graphs JMLR 2023

A Learnable Radial Basis Positional Embedding for Coordinate-MLPs AAAI 2023

A Unified Framework for Optimization-Based Graph Coarsening JMLR 2023

Large sample spectral analysis of graph-based multi-manifold clustering JMLR 2023

A Fractional Graph Laplacian Approach to Oversmoothing NIPS 2023

Multi-modal differentiable unsupervised feature selection UAI 2023

Featured Graph Coarsening with Similarity Guarantees ICML 2023