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Jan 5, 2024 · In this paper, we proposed an opinion leader and graph embedding based framework to identify influential nodes in social networks. The main ...
In this paper, we propose a regression framework via opinion leaders and graph embedding, named Inf-LGR, to optimize the performance degradation problem caused ...
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May 9, 2023 · Influence maximization in social networks using graph embedding and graph neural network. Information Sciences (2022).Google Scholar Google ...
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Scholar Influence Maximization via Opinion Leader and Graph Embedding Regression in Social Networks ... regression framework via opinion leaders and graph ...
Scholar Influence Maximization viaOpinion Leader andGraph Embedding Regression inSocial Networks ... regression framework via opinion leaders and graph embedding ...
Jul 18, 2023 · Influence maximization in social networks using graph embedding and graph neural network. Information Sciences 607 (2022), 1617–1636.Google ...
Nov 11, 2023 · The proposed method aims to find the maximum influence in the social network graph that has a good fitness degree. The algorithm can identify ...
Missing: Leader Embedding Regression
Jun 10, 2015 · Scholar Influence Maximization via Opinion Leader and Graph Embedding Regression in Social Networks. 2024, Communications in Computer and ...
Contents ; Scholar Influence Maximization via Opinion Leader and Graph Embedding Regression in Social Networks. 78 ; Incremental Inductive Dynamic Network ...
Nov 19, 2021 · A research area related to the detection of opinion leaders is the Influence Maximization ... A review of the influence maximization problem in ...