Graph Neural Network for Higher-Order Dependency Networks-Reference-Cited by-同舟云学术

Graph Neural Network for Higher-Order Dependency Networks

Published:2022-04-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM Web Conference 2022
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Author:

Jin Di¹,Gong Yingli¹,Wang Zhiqiang¹,Yu Zhizhi¹,He Dongxiao¹,Huang Yuxiao²,Wang Wenjun¹

Affiliation:

1. College of Intelligence and Computing, Tianjin University, China

2. Columbian College of Arts and Sciences, George Washington University, USA

Funder

Meituan

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3485447.3512161

Reference34 articles.

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2. A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications

3. Generative Adversarial Networks: An Overview

4. Aditya Grover and Jure Leskovec. 2016. Node2vec: Scalable Feature Learning for Networks. In SIGKDD. 855–864. Aditya Grover and Jure Leskovec. 2016. Node2vec: Scalable Feature Learning for Networks. In SIGKDD. 855–864.

5. William L. Hamilton Zhitao Ying and Jure Leskovec. 2017. Inductive Representation Learning on Large Graphs. In NeurIPS. 1024–1034. William L. Hamilton Zhitao Ying and Jure Leskovec. 2017. Inductive Representation Learning on Large Graphs. In NeurIPS. 1024–1034.

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