Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
8-2021
Abstract
The 4th Workshop on Heterogeneous Information Network Analysis and Applications (HENA 2021) is co-located with the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. The goal of this workshop is to bring together researchers and practitioners in the field and provide a forum for sharing new techniques and applications in heterogeneous information network analysis. This workshop has an exciting program that spans a number of subtopics, such as heterogeneous network embedding and graph neural networks, data mining techniques on heterogeneous information networks, and applications of heterogeneous information network analysis. The workshop program includes several invited speakers, lively discussion on emerging topics, and presentations of accepted research papers.
Keywords
heterogeneous information networks, learning and mining on heterogeneous graphs, heterogeneous graph embedding, heterogeneous graph neural networks, applications of heterogeneous information network analysis
Discipline
Databases and Information Systems | OS and Networks
Research Areas
Data Science and Engineering
Publication
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, August 14-18
First Page
4157
Last Page
4158
Identifier
10.1145/3447548.3469445
Publisher
ACM
City or Country
Virtual Conference
Citation
SHI, Chuan; FANG, Yuan; YE, Yanfang; and ZHANG, Jiawei.
The 4th workshop on heterogeneous information network analysis and applications (HENA 2021). (2021). Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, August 14-18. 4157-4158.
Available at: https://ink.library.smu.edu.sg/sis_research/7483
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1145/3447548.3469445