4.7 Article

Attributed multi-query community search via random walk similarity

Related references

Note: Only part of the references are listed.
Article Computer Science, Artificial Intelligence

Searching Target Communities with Outliers in attributed graph

Qingqing Li et al.

Summary: This study proposes a community search model that can find multiple target communities and identify outliers at the same time. The model incorporates user preferences into the search process to find interesting clusters in the entire network, utilizing two strategies to explore sample node candidates and effectively detect multiple communities and outliers.

KNOWLEDGE-BASED SYSTEMS (2022)

Article Computer Science, Artificial Intelligence

Position-Transitional Particle Swarm Optimization-Incorporated Latent Factor Analysis

Xin Luo et al.

Summary: A latent factor analysis model based on particle swarm optimization algorithm is proposed, which improves the learning rate adaptation while achieving higher prediction accuracy and computational efficiency.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2022)

Article Automation & Control Systems

A Dynamic Neighborhood-Based Switching Particle Swarm Optimization Algorithm

Nianyin Zeng et al.

Summary: In this article, a dynamic-neighborhood-based switching PSO (DNSPSO) algorithm is proposed with improved velocity update mechanism and learning strategy. The differential evolution algorithm is successfully hybridized with the particle swarm optimization algorithm to enhance the solution accuracy for multimodal optimization problems.

IEEE TRANSACTIONS ON CYBERNETICS (2022)

Article Computer Science, Artificial Intelligence

Incorporating User's Preference into Attributed Graph Clustering

Wei Ye et al.

Summary: This paper introduces two quality measures, Graph Unimodality and Attribute Unimodality, along with their linear combination Compactness, for optimizing local clustering. LOCLU detects local clusters concentrated in the region of interest, providing efficient information flow and displaying unimodal data distribution in the designated attribute subspace.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2021)

Article Computer Science, Hardware & Architecture

A survey of community search over big graphs

Yixiang Fang et al.

VLDB JOURNAL (2020)

Article Computer Science, Artificial Intelligence

Memory-based random walk for multi-query local community detection

Yuchen Bian et al.

KNOWLEDGE AND INFORMATION SYSTEMS (2020)

Article Computer Science, Cybernetics

Sparse Nonnegative Matrix Factorization for Multiple-Local-Community Detection

Dany Kamuhanda et al.

IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS (2020)

Article Computer Science, Artificial Intelligence

Distributed Balanced Partitioning via Linear Embedding

Kevin Aydin et al.

ALGORITHMS (2019)

Article Computer Science, Information Systems

Maximum Co-located Community Search in Large Scale Social Networks

Lu Chen et al.

PROCEEDINGS OF THE VLDB ENDOWMENT (2018)

Article Computer Science, Information Systems

Finding weighted k-truss communities in large networks

Zibin Zheng et al.

INFORMATION SCIENCES (2017)

Article Computer Science, Information Systems

Truss-based Community Search: a Truss-equivalence Based Indexing Approach

Esra Akbas et al.

PROCEEDINGS OF THE VLDB ENDOWMENT (2017)

Article Computer Science, Information Systems

Effective Community Search over Large Spatial Graphs

Yixiang Fang et al.

PROCEEDINGS OF THE VLDB ENDOWMENT (2017)

Article Computer Science, Artificial Intelligence

Efficient and effective community search

Nicola Barbieri et al.

DATA MINING AND KNOWLEDGE DISCOVERY (2015)