Self-Attention Enhanced Auto-Encoder for Link Weight Prediction With Graph Compression-Reference-Cited by-同舟云学术

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Self-Attention Enhanced Auto-Encoder for Link Weight Prediction With Graph Compression

Published:2024-01 Issue:1 Volume:11 Page:89-99
ISSN:2327-4697
Container-title:IEEE Transactions on Network Science and Engineering
language:
Short-container-title:IEEE Trans. Netw. Sci. Eng.

Author:

Liu Zhen¹^ORCID,Zuo Wenbo¹,Zhang Dongning²,Zhou Chuan³^ORCID

Affiliation:

1. School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China

2. 54th Research Institute of CETC, Shijiazhuang, China

3. Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/6488902/10382160/10173641.pdf?arnumber=10173641

Reference45 articles.

1. Empirical Analysis of an Evolving Social Network

2. Link prediction in weighted networks: The role of weak ties

3. Edge Weight Prediction in Weighted Signed Networks

4. Weight prediction in complex networks based on neighbor set

5. A Directed Edge Weight Prediction Model Using Decision Tree Ensembles in Industrial Internet of Things

Cited by 2 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. Detect Local Community based on Core Node using Deep Feature Fusion;2024-06-14

2. Cone: A Common Neighbor-Aware Link Weight Prediction Method with Simplified Graph Transformer;2024

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