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GNN-Geo: A Graph Neural Network-based Fine-grained IP geolocation Framework

  • Published:2023 Issue: Volume: Page:1-18
  • ISSN:2327-4697
  • Container-title:IEEE Transactions on Network Science and Engineering
  • language:
  • Short-container-title:IEEE Trans. Netw. Sci. Eng.

Author:

Ding Shichang1ORCID,Luo xiangyang1ORCID,Wang Jinwei2ORCID,Fu Xiaoming3ORCID

Affiliation:

1. State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou, China

2. School of Computer and Software, Nanjing University of Information Science & Technology, Nanjing, China

3. Institute of Computer Science, University of Göttingen, Göttingen, Germany

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Cited by 3 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. Exploring Self-Explainable Street-Level IP Geolocation with Graph Information Bottleneck;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

2. Landmarks Screening Method Based on Elliptical Trajectories Constraint;Mechanisms and Machine Science;2024

3. HGL_GEO: Finer-grained IPv6 geolocation algorithm based on hypergraph learning;Information Processing & Management;2023-11
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