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A new attributed graph clustering by using label propagation in complex networks
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Computing Communities in Large Networks Using Random Walks
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DB-CSC: A Density-Based Approach for Subspace Clustering in Graphs with Feature Vectors
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Community detection in attributed networks considering both structural and attribute similarities: two mathematical programming approaches
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A new local and multidimensional ranking measure to detect spreaders in social networks
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A systemic analysis of link prediction in social network
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Efficiently summarizing attributed diffusion networks
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A Link-Based Similarity for Improving Community Detection Based on Label Propagation Algorithm
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A new centrality measure based on the negative and positive effects of clustering coefficient for identifying influential spreaders in complex networks
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Community detection in node-attributed social networks: A survey
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Laplacian centrality: A new centrality measure for weighted networks
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Dense community detection in multi-valued attributed networks
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Identifying and evaluating community structure in complex networks
inferredcites →https://doi.org/10.1016/j.physa.2015.05.080openalex-snapshot
CenLP: A centrality-based label propagation algorithm for community detection in networks
inferredcites →https://doi.org/10.1016/j.physa.2017.11.006openalex-snapshot
Weighted compactness function based label propagation algorithm for community detection
inferredcites →https://doi.org/10.1016/j.physa.2018.02.212openalex-snapshot
Community detection in complex networks using structural similarity
inferredcites →https://doi.org/10.1016/j.physa.2019.121084openalex-snapshot
SCE: Subspace-based core expansion method for community detection in complex networks
inferredcites →https://doi.org/10.1016/j.physa.2019.122058openalex-snapshot
Community detection with the Label Propagation Algorithm: A survey
inferredcites →https://doi.org/10.1016/j.ygeno.2020.07.027openalex-snapshot
Integration of multi-objective PSO based feature selection and node centrality for medical datasets
inferredcites →https://doi.org/10.1017/nws.2015.9openalex-snapshot
Clustering attributed graphs: Models, measures and methods
inferredcites →https://doi.org/10.1073/pnas.0706851105openalex-snapshot
Maps of random walks on complex networks reveal community structure
inferredcites →https://doi.org/10.1103/physreve.70.066111openalex-snapshot
Finding community structure in very large networks
inferredcites →https://doi.org/10.1103/physreve.76.036106openalex-snapshot
Near linear time algorithm to detect community structures in large-scale networks
inferredcites →https://doi.org/10.1103/physreve.78.046110openalex-snapshot
Benchmark graphs for testing community detection algorithms
inferredcites →https://doi.org/10.1103/physreve.88.012807openalex-snapshot
Combining a popularity-productivity stochastic block model with a discriminative-content model for general structure detection
inferredcites →https://doi.org/10.1109/icdm.2010.41openalex-snapshot
Clustering Large Attributed Graphs: An Efficient Incremental Approach
inferredcites →https://doi.org/10.1109/icdm.2010.95openalex-snapshot
Subspace Clustering Meets Dense Subgraph Mining: A Synthesis of Two Paradigms
inferredcites →https://doi.org/10.1109/icdm.2013.110openalex-snapshot
Spectral Subspace Clustering for Graphs with Feature Vectors
inferredcites →https://doi.org/10.1109/icdm.2013.167openalex-snapshot
Community Detection in Networks with Node Attributes
inferredcites →https://doi.org/10.1109/icdmw.2019.00072openalex-snapshot
Community Detection in Attributed Social Networks: A Unified Weight-Based Model and Its Regimes
inferredcites →https://doi.org/10.1109/iv.2011.64openalex-snapshot
Node-attribute Graph Layout for Small-World Networks
inferredcites →https://doi.org/10.1109/tcss.2018.2879494openalex-snapshot
Community Detection in Complex Networks by Detecting and Expanding Core Nodes Through Extended Local Similarity of Nodes
inferredcites →https://doi.org/10.1109/tcyb.2017.2771496openalex-snapshot
Locally Weighted Fusion of Structural and Attribute Information in Graph Clustering
inferredcites →https://doi.org/10.1111/coin.12137openalex-snapshot
Multiobjective approach for detecting communities in heterogeneous networks
inferredcites →https://doi.org/10.1137/1.9781611972795.51openalex-snapshot
Mining Cohesive Patterns from Graphs with Feature Vectors
inferredcites →https://doi.org/10.1142/s0217979218500625openalex-snapshot
LP-LPA: A link influence-based label propagation algorithm for discovering community structures in networks
inferredcites →https://doi.org/10.1142/s0217979218501424openalex-snapshot
Effect of rich-club on diffusion in complex networks
inferredcites →https://doi.org/10.1145/1557019.1557120openalex-snapshot
Combining link and content for community detection
inferredcites →https://doi.org/10.1145/2213836.2213894openalex-snapshot
A model-based approach to attributed graph clustering
inferredcites →https://doi.org/10.1145/2464464.2464471openalex-snapshot
Producing a unified graph representation from multiple social network views
inferredcites →https://doi.org/10.1145/2487575.2487640openalex-snapshot
Social influence based clustering of heterogeneous information networks
inferredcites →https://doi.org/10.1145/2488388.2488483openalex-snapshot
Efficient community detection in large networks using content and links
inferredcites →https://doi.org/10.1145/2623330.2623682openalex-snapshot
Focused clustering and outlier detection in large attributed graphs
inferredcites →https://doi.org/10.1209/0295-5075/89/58007openalex-snapshot
Link prediction based on local random walk
inferredcites →https://doi.org/10.14778/1687627.1687709openalex-snapshot
Graph clustering based on structural/attribute similarities
inferredcites →https://doi.org/10.14778/2994509.2994538openalex-snapshot
Effective community search for large attributed graphs
inferredcites →https://doi.org/10.1609/aimag.v29i3.2157openalex-snapshot
Collective Classification in Network Data
inferredcites →https://doi.org/10.25126/jtiik.201412116openalex-snapshot
Case Based Reasoning Diagnosis Penyakit Cardiovascular Dengan Metode Simple Matching Coefficient Similarity
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Additional file 1 of Prediction of chemoresistance trait of cancer cell lines using machine learning algorithms and systems biology analysis
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Additional file 2 of Prediction of chemoresistance trait of cancer cell lines using machine learning algorithms and systems biology analysis
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