laplacian matrix

SchellingFormer: Laplacian Matrix-guided Geometric Transformer for Robust Schelling Point Detection AAAI 2026 Efficient Graph Continual Learning via Lightweight Graph Neural Tangent Kernels-based Dataset Distillation ICML 2025 Schwarz–Schur Involution: Lightspeed Differentiable Sparse Linear Solvers ICML 2025 Equivalence between Graph Spectral Clustering and Column Subset Selection (Student Abstract) AAAI 2024 Graph Learning in 4D: A Quaternion-Valued Laplacian to Enhance Spectral GCNs AAAI 2024 Pass-Efficient Algorithms for Graph Spectral Clustering (Student Abstract) AAAI 2024 Delving Into Shape-Aware Zero-Shot Semantic Segmentation CVPR 2023 Regularize Implicit Neural Representation by Itself CVPR 2023 Learning Laplacian Matrix from Graph Signals with Sparse Spectral Representation JMLR 2021 Multi-View Spectral Clustering with Optimal Neighborhood Laplacian Matrix AAAI 2020 RS3CIS: Robust Single-Step Spectral Clustering with Intrinsic Subspace AAAI 2019 Spectral Clustering of Signed Graphs via Matrix Power Means ICML 2019 Structured Graph Learning Via Laplacian Spectral Constraints NeurIPS 2019 Robust and Efficient Computation of Eigenvectors in a Generalized Spectral Method for Constrained Clustering AISTATS 2017 Compressive Spectral Clustering ICML 2016 Efficient Sampling for Gaussian Graphical Models via Spectral Sparsification COLT 2015 Spectral Clustering with Perturbed Data NeurIPS 2008 Feature Selection for Unsupervised and Supervised Inference: The Emergence of Sparsity in a Weight-Based Approach JMLR 2005