Genetic Meta-Structure Search for Recommendation on Heterogeneous Information Network-Reference-Cited by-同舟云学术

Genetic Meta-Structure Search for Recommendation on Heterogeneous Information Network

Published:2020-10-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 29th ACM International Conference on Information & Knowledge Management
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Author:

Han Zhenyu¹,Xu Fengli¹,Shi Jinghan²,Shang Yu¹,Ma Haorui¹,Hui Pan³,Li Yong¹

Affiliation:

1. Tsinghua University, Beijing, China

2. Beijing University of Posts and Telecommunications, Beijing, China

3. University of Helsimki & The Hong Kong University of Science and Technology, Hong Kong, China

Funder

The National Nature Science Foundation of China

The National Key Research and Development Program of China

Beijing Natural Science Foundation

Beijing National Research Center for Information Science and Technology

Research fund of Tsinghua University - Tencent Joint Laboratory for Internet Innovation Technology

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3340531.3412015

Reference21 articles.

1. Transductive Classification on Heterogeneous Information Networks with Edge Betweenness-based Normalization

2. David E Goldberg. 2006. Genetic algorithms. Pearson Education India. David E Goldberg. 2006. Genetic algorithms. Pearson Education India.

3. Heterogeneous Graph Transformer

4. Meta Structure

5. Thomas N Kipf and MaxWelling. 2016. Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907 (2016). Thomas N Kipf and MaxWelling. 2016. Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907 (2016).

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