DeHIN: A Decentralized Framework for Embedding Large-Scale Heterogeneous Information Networks-Reference-Cited by-同舟云学术

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DeHIN: A Decentralized Framework for Embedding Large-Scale Heterogeneous Information Networks

Published:2023-04-01 Issue:4 Volume:35 Page:3645-3657
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Imran Mubashir¹^ORCID,Yin Hongzhi¹^ORCID,Chen Tong¹,Huang Zi¹^ORCID,Zheng Kai²^ORCID

Affiliation:

1. School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Queensland, Australia

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

Funder

Australian Research Council Future Fellowship

Discovery Project

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/10063074/09677945.pdf?arnumber=9677945

Reference57 articles.

2. Neural Graph Collaborative Filtering

3. Learning Vertex Representations for Bipartite Networks

4. GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding

5. Generalized procrustes analysis

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