A Deep Prediction Framework for Multi-Source Information via Heterogeneous GNN-Reference-Cited by-同舟云学术

A Deep Prediction Framework for Multi-Source Information via Heterogeneous GNN

Published:2024-08-24 Issue: Volume: Page:3460-3471
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Container-title:Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Wu Zhen¹^ORCID,Zhou Jingya²^ORCID,Zhang Jinghui³^ORCID,Liu Ling⁴^ORCID,Huang Chizhou⁵^ORCID

Affiliation:

1. School of Computer Science and Technology, Soochow University & School of Computer Science and Engineering, Southeast University, Suzhou, China

2. School of Computer Science and Technology, Engineering Lab. of Big Data and Intelligence of Jiangsu Province, Soochow University & State Key Lab. for Novel Software Technology, Nanjing University, Suzhou, China

3. School of Computer Science and Engineering, Southeast University, Nanjing, China

4. School of Computer Science, Georgia Institute of Technology, Atlanta, USA

5. School of Computer Science and Technology, Soochow University, Suzhou, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of the Jiangsu Higher Education Institutions of China

IBM faculty award

Qinlan Project of Jiangsu Province of China

the National Key R&D Program for the 14th-Five-Year Plan of China

National Science Foundation CISE

the Fundamental Research Funds for the Central Universities

the Priority Academic Program Development of Jiangsu Higher Education Institutions

CISCO Edge AI program

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3637528.3671966

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