Persistent Laplacians: properties, algorithms and implications
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Abstract (arXiv)
We present a thorough study of the theoretical properties and devise efficient algorithms for the persistent Laplacian, an extension of the standard combinatorial Laplacian to the setting of pairs (or, in more generality, sequences) of simplicial complexes K hookrightarrow L, which was independently introduced by Lieutier et al. and by Wang et al. In particular, in analogy with the non-persistent case, we first prove that the nullity of the q-th persistent Laplacian DeltaqK,L equals the q-th persistent Betti number of the inclusion (K hookrightarrow L). We then present an initial algorithm for finding a matrix representation of DeltaqK,L, which itself helps interpret the persistent Laplacian. We exhibit a novel relationship between the persistent Laplacian and the notion of Schur complement of a matrix which has several important implications. In the graph case, it both uncovers a link with the notion of effective resistance and leads to a persistent version of the Cheeger inequality. This relationship also yields an additional, very simple algorithm for finding (a matrix representation of) the q-th persistent Laplacian which in turn leads to a novel and fundamentally different algorithm for computing the q-th persistent Betti number for a pair (K,L) which can be significantly more efficient than standard algorithms. Finally, we study persistent Laplacians for simplicial filtrations and present novel stability results for their eigenvalues. Our work brings methods from spectral graph theory, circuit theory, and persistent homology together with a topological view of the combinatorial Laplacian on simplicial complexes.
Key facts. Cited by 28 papers in the map (data through 7 Oct 2026). First posted on arXiv 4 Dec 2020.
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Citing papers per year: 2022: 2; 2023: 9; 2024: 7; 2025: 3; 2026: 7.
28 papers.
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- 2023Understanding Oversquashing in GNNs through the Lens of Effective Resistancecited by 94
- 2024Cayley Graph Propagationcited by 21
- 2022CCP: Correlated Clustering and Projection for Dimensionality Reductioncited by 7
- 2023Disentangling the Spectral Properties of the Hodge Laplacian: Not All Small Eigenvalues Are Equalcited by 5
- 2023PLPCA: Persistent Laplacian Enhanced-PCA for Microarray Data Analysiscited by 4
- 2024Point-Level Topological Representation Learning on Point Cloudscited by 4
- 2023ChatGPT for Computational Topologycited by 3
- 2023Analyzing Single Cell RNA Sequencing with Topological Nonnegative Matrix Factorizationcited by 3
- 2023Persistent Homology for High-dimensional Data Based on Spectral Methodscited by 3
- 2024Persistent de Rham-Hodge Laplacians in Eulerian representation for manifold topological learningcited by 3
- 2022Multiscale methods for signal selection in single-cell datacited by 2
- 2023Persistent Laplacian-enhanced Algorithm for Scarcely Labeled Data Classificationcited by 2
16 more
- 2023K-Nearest-Neighbors Induced Topological PCA for scRNA Sequence Data Analysiscited by 2
- 2024Provable quantum speedups for computing persistence in topological data analysiscited by 2
- 2024Quantum Distance Approximation for Persistence Diagramscited by 1
- 2024Linguistics from a topological viewpointcited by 1
- 2025Graph Persistence goes Spectralcited by 1
- 2026Multi-dimensional Persistent Sheaf Laplacians for Image Analysiscited by 1
- 2026A Persistent Homology Design Space for 3D Point Cloud Deep Learningcited by 1
- 2023Mathematics-assisted directed evolution and protein engineeringcited by 0
- 2024Higher-order Cross-structural Embedding Model for Time Series Analysiscited by 0
- 2025A Quotient Homology Theory of Representation in Neural Networkscited by 0
- 2025Lipschitz Bounds for Persistent Laplacian Eigenvalues under One-Simplex Insertionscited by 0
- 2026Persistent Sheaf Laplacian Analysis of Protein Stability and Solubility Changes upon Mutationcited by 0
- 2026Persistent Nonnegative Matrix Factorization via Multi-Scale Graph Regularizationcited by 0
- 2026A Hierarchical Sheaf Spectral Embedding Framework for Single-Cell RNA-seq Analysiscited by 0
- 2026Analytic Torsion and Spectral Gap Capture Persistent-Laplacian Performancecited by 0
- 2026Collapsed Effective Operators for Higher-order Structurescited by 0
- 2026Collapsed Effective Operators for Higher-order Structures22 Jun 2026
- 2026Analytic Torsion and Spectral Gap Capture Persistent-Laplacian Performance15 Jun 2026
- 2026A Persistent Homology Design Space for 3D Point Cloud Deep Learning5 Apr 2026
- 2026A Hierarchical Sheaf Spectral Embedding Framework for Single-Cell RNA-seq Analysis27 Mar 2026
- 2026Persistent Nonnegative Matrix Factorization via Multi-Scale Graph Regularization26 Feb 2026
- 2026Multi-dimensional Persistent Sheaf Laplacians for Image Analysis16 Feb 2026
- 2026Persistent Sheaf Laplacian Analysis of Protein Stability and Solubility Changes upon Mutation18 Jan 2026
- 2025Lipschitz Bounds for Persistent Laplacian Eigenvalues under One-Simplex Insertions26 Jun 2025
- 2025Graph Persistence goes Spectral6 Jun 2025
- 2025A Quotient Homology Theory of Representation in Neural Networks3 Feb 2025
- 2024Higher-order Cross-structural Embedding Model for Time Series Analysis30 Oct 2024
- 2024Provable quantum speedups for computing persistence in topological data analysis28 Oct 2024
16 more
- 2024Cayley Graph Propagation4 Oct 2024
- 2024Persistent de Rham-Hodge Laplacians in Eulerian representation for manifold topological learning1 Aug 2024
- 2024Point-Level Topological Representation Learning on Point Clouds4 Jun 2024
- 2024Linguistics from a topological viewpoint16 Mar 2024
- 2024Quantum Distance Approximation for Persistence Diagrams27 Feb 2024
- 2023Disentangling the Spectral Properties of the Hodge Laplacian: Not All Small Eigenvalues Are Equal24 Nov 2023
- 2023Persistent Homology for High-dimensional Data Based on Spectral Methods6 Nov 2023
- 2023Analyzing Single Cell RNA Sequencing with Topological Nonnegative Matrix Factorization24 Oct 2023
- 2023K-Nearest-Neighbors Induced Topological PCA for scRNA Sequence Data Analysis23 Oct 2023
- 2023ChatGPT for Computational Topology11 Oct 2023
- 2023PLPCA: Persistent Laplacian Enhanced-PCA for Microarray Data Analysis9 Jun 2023
- 2023Mathematics-assisted directed evolution and protein engineering6 Jun 2023
- 2023Persistent Laplacian-enhanced Algorithm for Scarcely Labeled Data Classification25 May 2023
- 2023Understanding Oversquashing in GNNs through the Lens of Effective Resistance14 Feb 2023
- 2022Multiscale methods for signal selection in single-cell data15 Jun 2022
- 2022CCP: Correlated Clustering and Projection for Dimensionality Reduction8 Jun 2022
- 2023Understanding Oversquashing in GNNs through the Lens of Effective Resistancecited by 94
- 2024Cayley Graph Propagationcited by 21
- 2022CCP: Correlated Clustering and Projection for Dimensionality Reductioncited by 7
- 2023Disentangling the Spectral Properties of the Hodge Laplacian: Not All Small Eigenvalues Are Equalcited by 5
- 2023PLPCA: Persistent Laplacian Enhanced-PCA for Microarray Data Analysiscited by 4
- 2024Point-Level Topological Representation Learning on Point Cloudscited by 4
- 2023ChatGPT for Computational Topologycited by 3
- 2023Analyzing Single Cell RNA Sequencing with Topological Nonnegative Matrix Factorizationcited by 3
- 2023Persistent Homology for High-dimensional Data Based on Spectral Methodscited by 3
- 2024Persistent de Rham-Hodge Laplacians in Eulerian representation for manifold topological learningcited by 3
- 2022Multiscale methods for signal selection in single-cell datacited by 2
- 2023Persistent Laplacian-enhanced Algorithm for Scarcely Labeled Data Classificationcited by 2
12 most cited of 28 All 28 (JSON)
- 2026Collapsed Effective Operators for Higher-order Structures22 Jun 2026
- 2026Analytic Torsion and Spectral Gap Capture Persistent-Laplacian Performance15 Jun 2026
- 2026A Persistent Homology Design Space for 3D Point Cloud Deep Learning5 Apr 2026
- 2026A Hierarchical Sheaf Spectral Embedding Framework for Single-Cell RNA-seq Analysis27 Mar 2026
- 2026Persistent Nonnegative Matrix Factorization via Multi-Scale Graph Regularization26 Feb 2026
- 2026Multi-dimensional Persistent Sheaf Laplacians for Image Analysis16 Feb 2026
- 2026Persistent Sheaf Laplacian Analysis of Protein Stability and Solubility Changes upon Mutation18 Jan 2026
- 2025Lipschitz Bounds for Persistent Laplacian Eigenvalues under One-Simplex Insertions26 Jun 2025
- 2025Graph Persistence goes Spectral6 Jun 2025
- 2025A Quotient Homology Theory of Representation in Neural Networks3 Feb 2025
- 2024Higher-order Cross-structural Embedding Model for Time Series Analysis30 Oct 2024
- 2024Provable quantum speedups for computing persistence in topological data analysis28 Oct 2024
12 newest of 28 All 28 (JSON)