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GAE-LSTMs: An End-to-End Method for Topology Inference in Dynamic Communication Networks

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Year: 2025
Type: article
Source: IEEE Transactions on Network Science and Engineering
DOI: 10.1109/tnse.2025.3621064
Authors: Fan Wu, Qiyuan Wu, Zhaoyun Ding, Mingliu Liu, Manjia Liu, Feng Lyu
Institutions: Central South University, National University of Defense Technology, State Grid Hubei Electric Power Company Electric Power Research Institute
Language: English

Topic: Advanced Graph Neural Networks
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: National Natural Science Foundation of China, Natural Science Foundation of Hainan Province, Key Research and Development Program of Hunan Province of China
Awards: G125550647, G1491834576, G4016464524, G6427232796, G6863796122, G7603973025
OpenAlex ID: W4415125293
FWCI: 1.237
Cites: 60
Cited by: 3
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