Identifying Users Across Social Media Networks for Interpretable Fine-Grained Neighborhood Matching by Adaptive GAT-Reference-Cited by-同舟云学术

Identifying Users Across Social Media Networks for Interpretable Fine-Grained Neighborhood Matching by Adaptive GAT

Published:2023-09 Issue:5 Volume:16 Page:3453-3466
ISSN:1939-1374
Container-title:IEEE Transactions on Services Computing
language:
Short-container-title:IEEE Trans. Serv. Comput.

Author:

Tang Wei¹^ORCID,Sun Haifeng¹^ORCID,Wang Jingyu¹^ORCID,Liu Cong²^ORCID,Qi Qi¹^ORCID,Wang Jing¹^ORCID,Liao Jianxin¹^ORCID

Affiliation:

1. State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China

2. China Mobile Research Institute, Beijing, China

Funder

National Natural Science Foundation of China

Ministry of Education and China Mobile Joint Fund

China Postdoctoral Science Foundation

Beijing University of Posts and Telecommunications-China Mobile Research Institute Joint Innovation Center

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Information Systems and Management,Computer Networks and Communications,Computer Science Applications,Hardware and Architecture

Link

http://xplorestaging.ieee.org/ielx7/4629386/10274114/10162025.pdf?arnumber=10162025

Reference53 articles.

1. Finding nemo: Searching and resolving identities of users across online social networks;jain,2012

2. @i seek 'fb.me'

3. An efficient reconciliation algorithm for social networks;korula,2013

4. Joint link-attribute user identity resolution in online social networks;bartunov;Proc 6th Int Conf Knowl Discov Data Mining Workshop Social Netw Mining Anal,2012

5. Graph attention networks;velickovic;Proc Int Conf Learn Representations,2018

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