Higher-Order Multi-Layer Community Detection

Author:

Huang Ling,Wang Chang-Dong,Chao Hong-Yang

Abstract

In this paper, we define a new problem of multi-layer network community detection, namely higher-order multi-layer community detection. A multi-layer motif (M-Motif) approach is proposed, which discovers communities with good intralayer higher-order community quality while preserving interlayer higher-order community consistency. Experimental results have confirmed the superiority of the proposed method.

Publisher

Association for the Advancement of Artificial Intelligence (AAAI)

Subject

General Medicine

Cited by 16 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Consensus Subspace Graph Regularization based on prior information for multiplex network clustering;Engineering Applications of Artificial Intelligence;2024-09

2. Motif-Based Contrastive Learning for Community Detection;IEEE Transactions on Neural Networks and Learning Systems;2024-09

3. Graph embedding based on motif-aware feature propagation for community detection;Physica A: Statistical Mechanics and its Applications;2023-11

4. MEGA: Explaining Graph Neural Networks with Network Motifs;2023 International Joint Conference on Neural Networks (IJCNN);2023-06-18

5. Adaptive target community search with sample expansion;Knowledge-Based Systems;2023-01

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