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heat kernel

16 papers

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Also known as

HKS

Co-occurring keywords

manifold learning (403) personalized pagerank (24) geodesic distance (56) kernel methods (1097) graph neural network (3962) heat diffusion (6) riemannian geometry (68) gaussian process (1200) uncertainty quantification (1393) graph matching (209)

Papers

The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs JMLR 2025
Continuous Product Graph Neural Networks NIPS 2024
Finsler-Laplace-Beltrami Operators with Application to Shape Analysis CVPR 2024
Faster Local Solvers for Graph Diffusion Equations NIPS 2024
Inference for Gaussian Processes with Matern Covariogram on Compact Riemannian Manifolds JMLR 2023
Intrinsic Gaussian Process on Unknown Manifolds with Probabilistic Metrics JMLR 2023
A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction NIPS 2023
Hypergraph Modeling via Spectral Embedding Connection: Hypergraph Cut, Weighted Kernel k-Means, and Heat Kernel AAAI 2022
Dirichlet Graph Variational Autoencoder NIPS 2020
Learning Manifold Implicitly via Explicit Heat-Kernel Learning NIPS 2020
Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning IJCAI 2019
Community Detection Using Time-Dependent Personalized PageRank ICML 2015
Partitioning Well-Clustered Graphs: Spectral Clustering Works! COLT 2015
Heat Diffusion Over Weighted Manifolds: A New Descriptor for Textured 3D Non-Rigid Shapes CVPR 2015
Stable and Informative Spectral Signatures for Graph Matching CVPR 2014
Graph Matching with Anchor Nodes: A Learning Approach CVPR 2013