Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning-Reference-Cited by-同舟云学术

Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning

Published:2021-08-14 Issue: Volume: Page:
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Container-title:Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining
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Author:

Wang Xiao¹,Liu Nian¹,Han Hui¹,Shi Chuan¹

Affiliation:

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

Funder

the National Natural Science Foundation of China

The Fundamental Research Funds for the Central Universities

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3447548.3467415

Reference36 articles.

1. Yuxiao Dong Nitesh V. Chawla and Ananthram Swami. 2017. metapath2vec: Scalable Representation Learning for Heterogeneous Networks. In SIGKDD. 135--144. Yuxiao Dong Nitesh V. Chawla and Ananthram Swami. 2017. metapath2vec: Scalable Representation Learning for Heterogeneous Networks. In SIGKDD. 135--144.

2. Shaohua Fan Junxiong Zhu Xiaotian Han Chuan Shi Linmei Hu Biyu Ma and Yongliang Li. 2019. Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation. In SIGKDD. 2478--2486. Shaohua Fan Junxiong Zhu Xiaotian Han Chuan Shi Linmei Hu Biyu Ma and Yongliang Li. 2019. Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation. In SIGKDD. 2478--2486.

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