Motif-based spectral clustering of weighted directed networks

Motif-based spectral clustering of weighted directed networks

Clustering is an essential technique for network analysis, with applications in a diverse range of fields. Although spectral clustering is a popular and effective method, it fails to consider higher-order structure and can perform poorly on directed networks. One approach is to capture and cluster h...

Fuld beskrivelse

Bibliografiske detaljer
Main Authors:	Underwood, WG, Elliott, A, Cucuringu, M
Format:	Journal article
Sprog:	English
Udgivet:	SpringerOpen 2020

Lignende værker

Motif-based spectral clustering of weighted directed networks
af: William G. Underwood, et al.
Udgivet: (2020-09-01)

Motif adjacency matrix and spectral clustering of directed weighted networks
af: Yike Wang, et al.
Udgivet: (2023-04-01)

Simple and scalable constrained clustering: a generalized spectral method
af: Cucuringu, M
Udgivet: (2016)

Hermitian matrices for clustering directed graphs: insights and applications
af: Cucuringu, M
Udgivet: (2019)

Core-periphery structure in directed networks
af: Elliott, A, et al.
Udgivet: (2020)

An MBO scheme for clustering and semi-supervised clustering of signed networks
af: Cucuringu, M, et al.
Udgivet: (2021)

Estimating Mixed Memberships in Directed Networks by Spectral Clustering
af: Huan Qing
Udgivet: (2023-02-01)

MSGNN: a spectral graph neural network based on a novel magnetic signed Laplacian
af: He, Y, et al.
Udgivet: (2022)

Detection of core-periphery structure in networks using spectral methods and geodesic paths
af: Cucuringu, M, et al.
Udgivet: (2016)

Algorithmic complexity of motifs clusters superfamilies of networks
af: Zenil, H, et al.
Udgivet: (2013)

SSSNET: semi-supervised signed network clustering
af: He, Y, et al.
Udgivet: (2022)

Weighted network motifs as random walk patterns
af: Francesco Picciolo, et al.
Udgivet: (2022-01-01)

Directed Network Comparison Using Motifs
af: Chenwei Xie, et al.
Udgivet: (2024-01-01)

Clustering Vertex-Weighted Graphs by Spectral Methods
af: Juan-Luis García-Zapata, et al.
Udgivet: (2021-11-01)

Random walk based conditional generative model for temporal networks with attributes
af: Limnios, S, et al.
Udgivet: (2022)

SPONGE: A generalized eigenproblem for clustering signed networks
af: Cucuringu, M, et al.
Udgivet: (2019)

Quantum Motif Clustering
af: Chris Cade, et al.
Udgivet: (2023-07-01)

Detection and clustering of lead-lag networks for multivariate time series with an application to financial markets
af: Bennett, S, et al.
Udgivet: (2022)

Lead–lag detection and network clustering for multivariate time series with an application to the US equity market
af: Bennett, S, et al.
Udgivet: (2022)

The GNAR-edge model: a network autoregressive model for networks with time-varying edge weights
af: Mantziou, A, et al.
Udgivet: (2023)

Motif-directed network component analysis for regulatory network inference
af: Clarke Robert, et al.
Udgivet: (2008-02-01)

Spectral density-based clustering algorithms for complex networks
af: Taiane Coelho Ramos, et al.
Udgivet: (2023-03-01)

Weighted directed clustering: Interpretations and requirements for heterogeneous, inferred, and measured networks
af: Tanguy Fardet, et al.
Udgivet: (2021-11-01)

Biocaiv: an integrative webserver for motif-based clustering analysis and interactive visualization of biological networks
af: Dong-Xu Li, et al.
Udgivet: (2023-11-01)

Correlation matrix clustering for statistical arbitrage portfolios
af: Jin, Q, et al.
Udgivet: (2023)

Anomaly detection in networks with application to financial transaction networks
af: Elliott, A, et al.
Udgivet: (2019)

Kernel Spectral Clustering for Big Data Networks
af: Johan A.K. Suykens, et al.
Udgivet: (2013-05-01)

Hypergraphs with edge-dependent vertex weights: p-Laplacians and spectral clustering
af: Yu Zhu, et al.
Udgivet: (2023-02-01)

Detection of Depression Using Weighted Spectral Graph Clustering With EEG Biomarkers
af: Shreeya Garg, et al.
Udgivet: (2023-01-01)

WEIGHTED LAPLACIANS OF GRIDS AND THEIR APPLICATION FOR INSPECTION OF SPECTRAL GRAPH CLUSTERING METHODS
af: MIECZYSŁAW KŁOPOTEK, et al.
Udgivet: (2021-07-01)

Directed network motifs in Alzheimer's disease and mild cognitive impairment.
af: Eric J Friedman, et al.
Udgivet: (2015-01-01)

DAMNETS: a deep autoregressive model for generating Markovian network time series
af: Clarkson, J, et al.
Udgivet: (2022)

Fragility of spectral clustering for networks with an overlapping structure
af: Chihiro Noguchi, et al.
Udgivet: (2020-10-01)

Fuzzy Divergence Weighted Ensemble Clustering With Spectral Learning Based on Random Projections for Big Data
af: Ines Lahmar, et al.
Udgivet: (2024-01-01)

Generation of typical wind power scenarios based on spectral normalization generative adversarial networks and spectral clustering
af: MENG Fanbin, et al.
Udgivet: (2024-12-01)

Attribute Graph Clustering Based on Self-Supervised Spectral Embedding Network
af: Xiaolin Ning, et al.
Udgivet: (2023-01-01)

Clustering Uniswap v3 traders from their activity on multiple liquidity pools, via novel graph embeddings
af: Miori, D, et al.
Udgivet: (2024)

Social Network Analysis Based on Network Motifs
af: Xu Hong-lin, et al.
Udgivet: (2014-01-01)

Clustering assessment in weighted networks
af: Argimiro Arratia, et al.
Udgivet: (2021-06-01)

A multi-view clustering algorithm for attributed weighted multi-edge directed networks
af: Khameneh, Azadeh Zahedi, et al.
Udgivet: (2022)