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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

Local High-Order Regularization on Data Manifolds CVPR 2015
New Insights Into Laplacian Similarity Search CVPR 2015
Learning Semi-Supervised Representation Towards a Unified Optimization Framework for Semi-Supervised Learning ICCV 2015
The f-Adjusted Graph Laplacian: a Diagonal Modification with a Geometric Interpretation ICML 2014
Semi-Supervised Eigenvectors for Large-Scale Locally-Biased Learning JMLR 2014
Stable and Informative Spectral Signatures for Graph Matching CVPR 2014
Robust Subspace Segmentation with Block-diagonal Prior CVPR 2014
Graph Matching with Anchor Nodes: A Learning Approach CVPR 2013
The Generalized Laplacian Distance and Its Applications for Visual Matching CVPR 2013
Curvature-Aware Regularization on Riemannian Submanifolds ICCV 2013
Graph-Laplacian PCA: Closed-Form Solution and Robustness CVPR 2013
Analyzing the Harmonic Structure in Graph-Based Learning NIPS 2013
A Local Spectral Method for Graphs: With Applications to Improving Graph Partitions and Exploring Data Graphs Locally JMLR 2012
Fiedler Random Fields: A Large-Scale Spectral Approach to Statistical Network Modeling NIPS 2012
Semi-supervised Eigenvectors for Locally-biased Learning NIPS 2012
Spectral Clustering of Graphs with General Degrees in the Extended Planted Partition Model COLT 2012
Toward Understanding Complex Spaces: Graph Laplacians on Manifolds with Singularities and Boundaries COLT 2012
Constrained 1-Spectral Clustering AISTATS 2012
Regularized Laplacian Estimation and Fast Eigenvector Approximation NIPS 2011
Operator Norm Convergence of Spectral Clustering on Level Sets JMLR 2011
Error Analysis of Laplacian Eigenmaps for Semi-supervised Learning AISTATS 2011
Semi-supervised Learning by Higher Order Regularization AISTATS 2011
Identifying graph-structured activation patterns in networks NIPS 2010
On Learning with Integral Operators JMLR 2010
Semi-Supervised Learning in Gigantic Image Collections NIPS 2009