Pyramid Graph Neural Network: A Graph Sampling and Filtering Approach for Multi-scale Disentangled Representations-Reference-Cited by-同舟云学术

Pyramid Graph Neural Network: A Graph Sampling and Filtering Approach for Multi-scale Disentangled Representations

Published:2023-08-04 Issue: Volume: Page:
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Container-title:Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Geng Haoyu¹^ORCID,Chen Chao¹^ORCID,He Yixuan²^ORCID,Zeng Gang³^ORCID,Han Zhaobing³^ORCID,Chai Hua³^ORCID,Yan Junchi¹^ORCID

Affiliation:

1. Shanghai Jiao Tong University, Shanghai, China

2. University of Oxford, Oxford, United Kingdom

3. Didi Chuxing, Beijing, China

Funder

Science and Technology Commission of Shanghai Municipality

China Key Research and Development Program

NSFC

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3580305.3599478

Reference78 articles.

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3. Graph Neural Networks with Convolutional ARMA Filters

4. Beyond Low-frequency Information in Graph Convolutional Networks

5. Joan Bruna , Wojciech Zaremba , Arthur Szlam , and Yann Lecun . 2014 . Spectral networks and locally connected networks on graphs . In International Conference on Learning Representations (ICLR). Joan Bruna, Wojciech Zaremba, Arthur Szlam, and Yann Lecun. 2014. Spectral networks and locally connected networks on graphs. In International Conference on Learning Representations (ICLR).

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