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A Graph Neural Network-based Method for Calculating Node Influence in Directed Networks
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An-hao WU, Fan-liang BU*, Zhi-yuan LI
Science Technology and Engineering | 2025, 25(12) : 5066 - 5072
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Science Technology and Engineering | 2025, 25(12): 5066-5072
• Papers·Automation and Computational Technology •
A Graph Neural Network-based Method for Calculating Node Influence in Directed Networks
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An-hao WU, Fan-liang BU*, Zhi-yuan LI
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  • School of Information Network Security, People's Public Security University of China, Beijing 100038, China
Published: 2025-04-28 doi: 10.12404/j.issn.1671-1815.2403486
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Modeling social networks using directed graphs and calculating the influence of nodes in settlement graphs using deep learning methods are important branches in the field of social research. In order to solve the problem that graph neural networks cannot well calculate the influence of nodes based on constructed node features, inspired by GraphGPS, a heat module was designed to propose a method of calculating the influence of nodes that integrated semantic, behavioral, and heat information in real networks. Firstly, the self-information obtained based on nodes' multiple centrality and orthogonal distribution sampling was used as the initial semantic features of the nodes. Secondly, the node features were fused by graph neural network. Once again, the node heat information was learned by the heat module. Finally, the fusion of the extracted semantic, behavioral, and heat features was implemented to calculate the node influence. Experiments were conducted on four real network datasets. The results show that the model with the addition of the heat module can effectively calculate node influence.

nodal influence  /  graph neural networks  /  directed networks  /  social networks
An-hao WU, Fan-liang BU, Zhi-yuan LI. A Graph Neural Network-based Method for Calculating Node Influence in Directed Networks[J]. Science Technology and Engineering, 2025 , 25 (12) : 5066 -5072 . DOI: 10.12404/j.issn.1671-1815.2403486
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Year 2025 volume 25 Issue 12
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Article Info
doi: 10.12404/j.issn.1671-1815.2403486
  • Receive Date：2024-05-11
  • Online Date：2025-07-09
  • Published：2025-04-28
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  • Received：2024-05-11
  • Revised：2025-01-22
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    School of Information Network Security, People's Public Security University of China, Beijing 100038, China
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多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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