heat kernel

The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs JMLR 2025 Continuous Product Graph Neural Networks NeurIPS 2024 Faster Local Solvers for Graph Diffusion Equations NeurIPS 2024 Finsler-Laplace-Beltrami Operators with Application to Shape Analysis CVPR 2024 A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction NeurIPS 2023 Inference for Gaussian Processes with Matern Covariogram on Compact Riemannian Manifolds JMLR 2023 Intrinsic Gaussian Process on Unknown Manifolds with Probabilistic Metrics JMLR 2023 Hypergraph Modeling via Spectral Embedding Connection: Hypergraph Cut, Weighted Kernel k-Means, and Heat Kernel AAAI 2022 Learning sparse mixtures of permutations from noisy information COLT 2021 Dirichlet Graph Variational Autoencoder NeurIPS 2020 Learning Manifold Implicitly via Explicit Heat-Kernel Learning NeurIPS 2020 Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning IJCAI 2019 Community Detection Using Time-Dependent Personalized PageRank ICML 2015 Heat Diffusion Over Weighted Manifolds: A New Descriptor for Textured 3D Non-Rigid Shapes CVPR 2015 Partitioning Well-Clustered Graphs: Spectral Clustering Works! COLT 2015 Stable and Informative Spectral Signatures for Graph Matching CVPR 2014 Graph Matching with Anchor Nodes: A Learning Approach CVPR 2013 Learning with Consistency between Inductive Functions and Kernels NeurIPS 2008