Random Walks on Simplicial Complexes and the normalized Hodge 1-Laplacian
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Abstract (arXiv)
Focusing on coupling between edges, we generalize the relationship between the normalized graph Laplacian and random walks on graphs by devising an appropriate normalization for the Hodge Laplacian -- the generalization of the graph Laplacian for simplicial complexes -- and relate this to a random walk on edges. Importantly, these random walks are intimately connected to the topology of the simplicial complex, just as random walks on graphs are related to the topology of the graph. This serves as a foundational step towards incorporating Laplacian-based analytics for higher-order interactions. We demonstrate how to use these dynamics for data analytics that extract information about the edge-space of a simplicial complex that complements and extends graph-based analysis. Specifically, we use our normalized Hodge Laplacian to derive spectral embeddings for examining trajectory data of ocean drifters near Madagascar and also develop a generalization of personalized PageRank for the edge-space of simplicial complexes to analyze a book co-purchasing dataset.
Key facts. Cited by 84 papers in the map (data through 7 Oct 2026). First posted on arXiv 13 Jul 2018.
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Citing papers per year: 2021: 15; 2022: 7; 2023: 19; 2024: 14; 2025: 12; 2026: 17.
84 papers.
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- 2021Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networkscited by 219
- 2021Weisfeiler and Lehman Go Cellular: CW Networkscited by 218
- 2021Automatic Symmetry Discovery with Lie Algebra Convolutional Networkcited by 82
- 2021Signal Processing on Higher-Order Networks: Livin' on the Edge ... and Beyondcited by 81
- 2021Principled Simplicial Neural Networks for Trajectory Predictioncited by 77
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- 2023Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatmentcited by 47
- 2023Architectures of Topological Deep Learning: A Survey of Message-Passing Topological Neural Networkscited by 43
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- 2021Signal Processing on Cell Complexescited by 31
- 2023Generalized Simplicial Attention Neural Networkscited by 27
- 2023Convolutional Learning on Simplicial Complexescited by 26
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- 2026Topological Signal Processing With Unoriented Operators21 Sep 2026
- 2026Beyond Arbitrary Geometry: Topology Generalization In neural PDE Operators5 Sep 2026
- 2026Gauge-Invariant, Parameter-Insensitive Regularization for Potential Recovery from Flow on Directed Graphs15 Jul 2026
- 2026Collapsed Effective Operators for Higher-order Structures22 Jun 2026
- 2026Analytic Torsion and Spectral Gap Capture Persistent-Laplacian Performance15 Jun 2026
- 2026Equivariant Cellular Sheaves for Molecular Electronic Structure: Bridging Sheaf Cohomology and E(3)-Equivariant Hamiltonian Learning14 Jun 2026
- 2026Topological Neural Operators8 Jun 2026
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- 2026Topological Signal Processing: An Application-Oriented Tutorial18 May 2026
- 2026Topological Kalman Filtering on Cell Complexes15 May 2026
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