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Network Embedding for Community Detection in Attributed Networks

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Information Science and Statistics
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Efficient nonparametric and asymptotic Bayesian model selection methods for attributed graph clustering
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A tutorial on spectral clustering
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A mixture model for random graphs
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Interpreting communities based on the evolution of a dynamic attributed network
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Stochastic blockmodels: First steps
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A distributed overlapping community detection model for large graphs using autoencoder
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Compact group discovery in attributed graphs and social networks
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Clustering based on random graph model embedding vertex features
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Overlapping community detection using a generative model for networks
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Community detection in graphs
inferredcites →https://doi.org/10.1038/ncomms11863openalex-snapshot
Structure and inference in annotated networks
inferredcites →https://doi.org/10.1073/pnas.0601602103openalex-snapshot
Modularity and community structure in networks
inferredcites →https://doi.org/10.1073/pnas.0706851105openalex-snapshot
Maps of random walks on complex networks reveal community structure
inferredcites →https://doi.org/10.1088/1742-5468/2008/10/p10008openalex-snapshot
Fast unfolding of communities in large networks
inferredcites →https://doi.org/10.1103/physreve.69.026113openalex-snapshot
Finding and evaluating community structure in 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.83.016107openalex-snapshot
Stochastic blockmodels and community structure in networks
inferredcites →https://doi.org/10.1103/physreve.83.066114openalex-snapshot
Overlapping community detection using Bayesian non-negative matrix factorization
inferredcites →https://doi.org/10.1109/access.2018.2855437openalex-snapshot
A Survey of Clustering With Deep Learning: From the Perspective of Network Architecture
inferredcites →https://doi.org/10.1109/cvpr.1993openalex-snapshot
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
inferredcites →https://doi.org/10.1109/iccv.2017.626openalex-snapshot
Deep Adaptive Image Clustering
inferredcites →https://doi.org/10.1109/icdm.2013.167openalex-snapshot
Community Detection in Networks with Node Attributes
inferredcites →https://doi.org/10.1109/tpami.2010.231openalex-snapshot
Graph Regularized Nonnegative Matrix Factorization for Data Representation
inferredcites →https://doi.org/10.1111/coin.12178openalex-snapshot
Detecting semantic‐based communities in node‐attributed graphs
inferredcites →https://doi.org/10.1126/science.290.5500.2319openalex-snapshot
A Global Geometric Framework for Nonlinear Dimensionality Reduction
inferredcites →https://doi.org/10.1126/science.290.5500.2323openalex-snapshot
Nonlinear Dimensionality Reduction by Locally Linear Embedding
inferredcites →https://doi.org/10.1137/1.9781611972825.38openalex-snapshot
PICS: Parameter-free Identification of Cohesive Subgroups in Large Attributed Graphs
inferredcites →https://doi.org/10.1145/1921632.1921638openalex-snapshot
Clustering Large Attributed Graphs
inferredcites →https://doi.org/10.1145/2213836.2213894openalex-snapshot
A model-based approach to attributed graph clustering
inferredcites →https://doi.org/10.1145/2433396.2433471openalex-snapshot
Overlapping community detection at scale
inferredcites →https://doi.org/10.1145/2556195.2556259openalex-snapshot
Personalized entity recommendation
inferredcites →https://doi.org/10.1145/2623330.2623732openalex-snapshot
DeepWalk
inferredcites →https://doi.org/10.1145/2629616openalex-snapshot
GBAGC
inferredcites →https://doi.org/10.1145/2736277.2741093openalex-snapshot
LINE
inferredcites →https://doi.org/10.1145/2806416.2806512openalex-snapshot
GraRep
inferredcites →https://doi.org/10.1145/2939672.2939673openalex-snapshot
Collaborative Knowledge Base Embedding for Recommender Systems
inferredcites →https://doi.org/10.1145/2939672.2939753openalex-snapshot
Structural Deep Network Embedding
inferredcites →https://doi.org/10.1145/2939672.2939754openalex-snapshot
node2vec
inferredcites →https://doi.org/10.1145/2996197openalex-snapshot
Combining Structured Node Content and Topology Information for Networked Graph Clustering
inferredcites →https://doi.org/10.1145/3041021.3051158openalex-snapshot
Deep Graph Clustering in Social Network
inferredcites →https://doi.org/10.1145/3132847.3132925openalex-snapshot
Learning Community Embedding with Community Detection and Node Embedding on Graphs
inferredcites →https://doi.org/10.1145/354756.354805openalex-snapshot
Analyzing the effectiveness and applicability of co-training
inferredcites →https://doi.org/10.14778/1687627.1687709openalex-snapshot
Graph clustering based on structural/attribute similarities
inferredcites →https://doi.org/10.1561/2200000005openalex-snapshot
A Survey of Statistical Network Models
inferredcites →https://doi.org/10.24963/ijcai.2017/243openalex-snapshot
Improved Deep Embedded Clustering with Local Structure Preservation

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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A Novel Hierarchical Community Paradigm for Online Social Network Division from the Perspective of Information Ecosystem
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Network Representation Learning Algorithm Integrating Local and Global Topology Information
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AHNA: Adaptive representation learning for attributed heterogeneous networks
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Community detection in complex networks: From statistical foundations to data science applications
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Adaptive Attributed Network Embedding for Community Detection
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Detecting Communities in Feature-Rich Networks with a K-Means Method
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Graph Convolution Networks for Unsupervised Learning
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E-PAGEC: A Differentiable Joint Attributed-Graph Embedding and Clustering Model
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Generating prediction clustering graph network analysis data from masked time series with GANs
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Community anomaly detection in attribute networks based on refining context
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Attributed network community detection based on network embedding and parameter-free clustering
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An attentional-walk-based autoencoder for community detection
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Implicit association relationships perception network representation learning based on adversarial training variational graph autoencoder
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A novel method of spectral clustering in attributed networks by constructing parameter-free affinity matrix
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An enhancing hybrid graph attention variational autoencoder and multi-objective Gorilla Troops Optimizer for community detection in complex networks
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A big graph clustering method to support parallel processing by perceiving graph’s application algorithm semantics
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Community detection in attributed social networks using deep learning
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Weakly-supervised learning for community detection based on graph convolution in attributed networks
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Summable and nonsummable data-driven models for community detection in feature-rich networks
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Deep attributed network representation learning via enhanced local attribute neighbor
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Attributed Network Embedding Using an Improved Weisfeiler-Lehman Schema and a Novel Deep Skip-Gram
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Network Embedding Based on Biased Random Walk for Community Detection in Attributed Networks
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Toward Noise-Resistant Graph Embedding With Subspace Clustering Information
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Deep Reinforcement Learning for Tenuous Subgraph Finding
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EPINE: Enhanced Proximity Information Network Embedding
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A Generative Node-attribute Network Model for Detecting Generalized Structure
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