Improving Social Network Embedding via New Second-Order Continuous Graph Neural Networks-Reference-Cited by-同舟云学术

Improving Social Network Embedding via New Second-Order Continuous Graph Neural Networks

Published:2022-08-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Zhang Yanfu¹,Gao Shangqian¹,Pei Jian²,Huang Heng¹

Affiliation:

1. University of Pittsburgh, Pittsburgh, PA, USA

2. Simon Fraser University, Vancouver, Canada

Funder

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3534678.3539415

Reference47 articles.

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4. Michaël Defferrard Xavier Bresson and Pierre Vandergheynst. 2016. Convolutional neural networks on graphs with fast localized spectral filtering. In Advances in Neural Information Processing Systems. 3844--3852. Michaël Defferrard Xavier Bresson and Pierre Vandergheynst. 2016. Convolutional neural networks on graphs with fast localized spectral filtering. In Advances in Neural Information Processing Systems. 3844--3852.

5. Zhiwei Deng , Megha Nawhal , Lili Meng , and Greg Mori . 2019. Continuous graph flow. arXiv preprint arXiv:1908.02436 ( 2019 ). Zhiwei Deng, Megha Nawhal, Lili Meng, and Greg Mori. 2019. Continuous graph flow. arXiv preprint arXiv:1908.02436 (2019).

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