graph laplacian

Efficiently learning the graph for semi-supervised learning UAI 2023 Featured Graph Coarsening with Similarity Guarantees ICML 2023 Large sample spectral analysis of graph-based multi-manifold clustering JMLR 2023 Learning Coherent Clusters in Weakly-Connected Network Systems L4DC 2023 Limitless Stability for Graph Convolutional Networks ICLR 2023 Multi-modal differentiable unsupervised feature selection UAI 2023 Randomized Schur Complement Views for Graph Contrastive Learning ICML 2023 The Persistent Laplacian for Data Science: Evaluating Higher-Order Persistent Spectral Representations of Data ICML 2023 A Simple Approach to Automated Spectral Clustering NeurIPS 2022 Capturing Graphs with Hypo-Elliptic Diffusions NeurIPS 2022 How Powerful are Spectral Graph Neural Networks ICML 2022 Laplacian Constrained Precision Matrix Estimation: Existence and High Dimensional Consistency AISTATS 2022 Learning Bipartite Graphs: Heavy Tails and Multiple Components NeurIPS 2022 Linearization and Identification of Multiple-Attractor Dynamical Systems through Laplacian Eigenmaps JMLR 2022 Network Regression with Graph Laplacians JMLR 2022 Principle of relevant information for graph sparsification UAI 2022 Robust Estimation of Laplacian Constrained Gaussian Graphical Models with Trimmed Non-convex Regularization PGM 2022 Scalable Multi-agent Covering Option Discovery based on Kronecker Graphs NeurIPS 2022 Semi-Supervised Learning with Decision Trees: Graph Laplacian Tree Alternating Optimization NeurIPS 2022 SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators ICML 2022 Theoretical Foundations of t-SNE for Visualizing High-Dimensional Clustered Data JMLR 2022 Differentiable Unsupervised Feature Selection based on a Gated Laplacian NeurIPS 2021 Fast Multi-view Discrete Clustering with Anchor Graphs AAAI 2021 Geometric structure of graph Laplacian embeddings JMLR 2021 Graph Contrastive Clustering ICCV 2021