Cover Image

Dynamic networks clustering via mirror distance

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zheng, Runbing, Athreya, Avanti, Zlatic, Marta, Clayton, Michael, Priebe, Carey E.
Format:	Preprint
Published:	2024
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Euclidean mirrors and dynamics in network time series
by: Athreya, Avanti, et al.
Published: (2022)

Euclidean mirrors and first-order changepoints in network time series
by: Chen, Tianyi, et al.
Published: (2024)

Consistent response prediction for multilayer networks on unknown manifolds
by: Acharyya, Aranyak, et al.
Published: (2024)

Random line graphs and edge-attributed network inference
by: Lubberts, Zachary, et al.
Published: (2021)

A functional tensor model for dynamic multilayer networks with common invariant subspaces and the RKHS estimation
by: Tang, Runshi, et al.
Published: (2025)

Recovering manifold structure in LLM responses through a joint Euclidean mirror
by: Baum, Maximilian, et al.
Published: (2026)

Detection and estimation of vertex-wise latent position shifts across networks
by: Zheng, Runbing
Published: (2025)

Multiple Network Embedding for Anomaly Detection in Time Series of Graphs
by: Chen, Guodong, et al.
Published: (2020)

Vertex misalignment and changepoint localization in network time series
by: Chen, Tianyi, et al.
Published: (2026)

Chain-linked multiple matrix integration via embedding alignment
by: Zheng, Runbing, et al.
Published: (2024)

Convergence guarantees for response prediction for latent structure network time series
by: Acharyya, Aranyak, et al.
Published: (2025)

When prompt perturbations break your A/B test: A valid statistical test for generative surveying
by: Helm, Hayden, et al.
Published: (2026)

Network Dependence Testing via Diffusion Maps and Distance-Based Correlations
by: Lee, Youjin, et al.
Published: (2017)

Occam Factor for Random Graphs: Erdös-Rényi, Independent Edge, and Rank-1 Stochastic Blockmodel
by: Wang, Tianyu, et al.
Published: (2023)

Testing for LLM response differences: the case of a composite null consisting of semantically irrelevant query perturbations
by: Acharyya, Aranyak, et al.
Published: (2025)

Comparing Foundation Models using Data Kernels
by: Duderstadt, Brandon, et al.
Published: (2023)

Correcting a Nonparametric Two-sample Graph Hypothesis Test for Graphs with Different Numbers of Vertices with Applications to Connectomics
by: Alyakin, Anton A., et al.
Published: (2020)

Query-efficient model evaluation using cached responses
by: Helm, Hayden, et al.
Published: (2026)

LLM Web Dynamics: Tracing Model Collapse in a Network of LLMs
by: Wang, Tianyu, et al.
Published: (2025)

Discovering the Signal Subgraph: An Iterative Screening Approach on Graphs
by: Shen, Cencheng, et al.
Published: (2018)

MSmix: An R Package for clustering partial rankings via mixtures of Mallows Models with Spearman distance
by: Crispino, Marta, et al.
Published: (2024)

Taming Variability: Randomized and Bootstrapped Conformal Risk Control for LLMs
by: Pang, Lingyou, et al.
Published: (2025)

Valid Two-Sample Graph Testing via Optimal Transport Procrustes and Multiscale Graph Correlation with Applications in Connectomics
by: Chung, Jaewon, et al.
Published: (2019)

Procrustes Problems on Random Matrices
by: Jasa, Hajg, et al.
Published: (2025)

Multi-Rank Subspace Change-Point Detection for Monitoring Robotic Swarms
by: Lee, Jonghyeok, et al.
Published: (2025)

Optimizing the Induced Correlation in Omnibus Joint Graph Embeddings
by: Pantazis, Konstantinos, et al.
Published: (2024)

Gotta match 'em all: Solution diversification in graph matching matched filters
by: Li, Zhirui, et al.
Published: (2023)

Approximately optimal domain adaptation with Fisher's Linear Discriminant
by: Helm, Hayden S., et al.
Published: (2023)

Model-based clustering of categorical data based on the Hamming distance
by: Argiento, Raffaele, et al.
Published: (2022)

Discovering a change point and piecewise linear structure in a time series of organoid networks via the iso-mirror
by: Chen, Tianyi, et al.
Published: (2023)

Dynamic spectral co-clustering of directed networks to unveil latent community paths in VAR-type models
by: Kim, Younghoon, et al.
Published: (2025)

A stochastic network approach to clustering and visualising single-cell genomic count data
by: Bartlett, Thomas E., et al.
Published: (2023)

Joint mixed-effects models for causal inference in clustered network-based observational studies
by: McNealis, Vanessa, et al.
Published: (2024)

Simultaneous global and local clustering in multiplex networks with covariate information
by: Corneck, Joshua, et al.
Published: (2025)

Gaussian mixture models as a proxy for interacting language models
by: Wang, Edward L., et al.
Published: (2025)

Estimation of Multivariate Functional Principal Components from Sparse Functional Data
by: Mbaka, Uche, et al.
Published: (2026)

Causal clustering: design of cluster experiments under network interference
by: Viviano, Davide, et al.
Published: (2023)

DOD: Detection of outliers in high dimensional data with distance of distances
by: Lee, Seong-ho, et al.
Published: (2025)

Multiplex Dirichlet stochastic block model for clustering multidimensional compositional networks
by: Promskaia, Iuliia, et al.
Published: (2024)

An integrated method for clustering and association network inference
by: Tous, Jeanne, et al.
Published: (2025)