default author photo

Jin Li

affiliation not provided to SSRN

  • affiliation not provided to SSRN

SCHOLARLY PAPERS

3

DOWNLOADS

147

TOTAL CITATIONS

0

Scholarly Papers (3)

Actions:
Email selected abstracts
1.

Semi-Supervised Community Detection Via Iterative Cross-Level Graph Contrastive Learning

Number of pages: 14 Posted: 18 Oct 2024
Liu Haonan, Li Xiaoyu, Wang Hongqi, Jin Li, Wen Shi, Yang Bai, Linhao Zhang and Sun Xian
affiliation not provided to SSRN, affiliation not provided to SSRN, Beijing Institute of Technology, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 59 (970,490)

Abstract:

Loading...

Semi-supervised Community Detection, Contrastive learning, Graph Neural Networks

2.

Automated Community Detection of Biomedical Composite Networks Across Network Embedding and Dynamic Optimisation

Number of pages: 10 Posted: 27 Feb 2025
Liu Haonan, Wen Shi, Li Xiaoyu, Jin Li, Yang Bai, Youhua Zheng and Sun Xian
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 49 (1,074,648)

Abstract:

Loading...

Biomedical composite networks, deep learning, community detection, dynamic optimisation

3.

Mars: An Iterative Matching and Rewriting Model for Semi-Supervised Community Detection

Number of pages: 13 Posted: 13 Mar 2024
Liu Haonan, Li Xiaoyu, Hu Linmei, Jin Li, Sun Xian, Zhang Linhao, Wei Kaiwen and Wang Hongqi
affiliation not provided to SSRN, affiliation not provided to SSRN, Beijing Institute of Technology, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and Beijing Institute of Technology
Downloads 39 (1,196,171)

Abstract:

Loading...

Semi-supervised Community Detection, Contrastive Learning, Graph Neural Networks