Efficient Topology-aware Data Augmentation for High-Degree Graph Neural Networks

Author:

Lai Yurui1ORCID,Lin Xiaoyang1ORCID,Yang Renchi1ORCID,Wang Hongtao1ORCID

Affiliation:

1. Hong Kong Baptist University, Hong Kong, China

Funder

NSFC YSF grant

Hong Kong RGC ECS grant

Publisher

ACM

Reference111 articles.

1. Sami Abu-El-Haija, Bryan Perozzi, Rami Al-Rfou, and Alexander A Alemi. 2018. Watch your step: Learning node embeddings via graph attention. NeurIPS, Vol. 31 (2018).

2. Towards data augmentation in graph neural network: An overview and evaluation

3. Joshua D Batson Daniel A Spielman and Nikhil Srivastava. 2009. Twice-ramanujan sparsifiers. In STOC. 255--262.

4. Graph neural networks with convolutional arma filters;Bianchi Filippo Maria;TPAMI,2021

5. Chen Cai and Yusu Wang. 2020. A note on over-smoothing for graph neural networks. arXiv preprint arXiv:2006.13318 (2020).

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