OlapGN: A multi-layered graph convolution network-based model for locating influential nodes in graph networks
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Title
OlapGN: A multi-layered graph convolution network-based model for locating influential nodes in graph networks
Authors
Keywords
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Journal
KNOWLEDGE-BASED SYSTEMS
Volume -, Issue -, Pages 111163
Publisher
Elsevier BV
Online
2023-11-07
DOI
10.1016/j.knosys.2023.111163
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- (2022) Yunyun Niu et al. EXPERT SYSTEMS WITH APPLICATIONS
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- (2020) Chungu Guo et al. Entropy
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- (2020) En-Yu Yu et al. KNOWLEDGE-BASED SYSTEMS
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- (2020) Ye Yuan et al. IEEE Transactions on Big Data
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- (2019) Ping Ji et al. Journal of Ambient Intelligence and Humanized Computing
- Generalized network dismantling
- (2019) Xiao-Long Ren et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Identifying influential spreaders in complex networks by propagation probability dynamics
- (2019) Duan-Bing Chen et al. CHAOS
- Community detection and influential node identification in complex networks using mathematical programming
- (2019) Sharan Srinivas et al. EXPERT SYSTEMS WITH APPLICATIONS
- Analysis of Online Social Network Connections for Identification of Influential Users
- (2018) Mohammed Ali Al-Garadi et al. ACM COMPUTING SURVEYS
- An efficient multilevel scheme for coarsening large scale social networks
- (2018) Delel Rhouma et al. APPLIED INTELLIGENCE
- Feature selection in machine learning: A new perspective
- (2018) Jie Cai et al. NEUROCOMPUTING
- Networking for Big Data: A Survey
- (2017) Shui Yu et al. IEEE Communications Surveys and Tutorials
- Social Influence Analysis in Social Networking Big Data: Opportunities and Challenges
- (2017) Sancheng Peng et al. IEEE NETWORK
- Ranking in evolving complex networks
- (2017) Hao Liao et al. PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS
- Identification of multi-spreader users in social networks for viral marketing
- (2016) Amir Sheikhahmadi et al. JOURNAL OF INFORMATION SCIENCE
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- (2016) Linyuan Lü et al. PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS
- Detecting spammers on social networks
- (2015) Xianghan Zheng et al. NEUROCOMPUTING
- Identifying effective multiple spreaders by coloring complex networks
- (2015) Xiang-Yu Zhao et al. EPL
- Discovering social circles in ego networks
- (2014) Julian Mcauley et al. ACM Transactions on Knowledge Discovery from Data
- Structure and Overlaps of Ground-Truth Communities in Networks
- (2014) Jaewon Yang et al. ACM Transactions on Intelligent Systems and Technology
- Community Detection in Scale-Free Networks: Approximation Algorithms for Maximizing Modularity
- (2013) Thang N. Dinh et al. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
- Identifying Influential Nodes in Large-Scale Directed Networks: The Role of Clustering
- (2013) Duan-Bing Chen et al. PLoS One
- Learning from Imbalanced Data
- (2009) Haibo He et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Benchmarks for testing community detection algorithms on directed and weighted graphs with overlapping communities
- (2009) Andrea Lancichinetti et al. PHYSICAL REVIEW E
- On Modularity Clustering
- (2008) U. Brandes et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Fast unfolding of communities in large networks
- (2008) Vincent D Blondel et al. JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT
- Clustering coefficient and community structure of bipartite networks
- (2008) Peng Zhang et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
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