Graph Neural Networks with Node-wise Architecture-Reference-Cited by-同舟云学术

Graph Neural Networks with Node-wise Architecture

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

Wang Zhen¹,Wei Zhewei²,Li Yaliang³,Kuang Weirui¹,Ding Bolin³

Affiliation:

1. Alibaba Group, Hangzhou, China

2. Renmin University of China, Beijing, China

3. Alibaba Group, Bellevue, WA, USA

Funder

Peng Cheng Laboratory

Natural Science Foundation of Beijing Municipality

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3534678.3539387

Reference38 articles.

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2. Eli Chien , Jianhao Peng , Pan Li , and Olgica Milenkovic . 2021 . Adaptive Universal Generalized PageRank Graph Neural Network. In International Conference on Learning Representations. Eli Chien, Jianhao Peng, Pan Li, and Olgica Milenkovic. 2021. Adaptive Universal Generalized PageRank Graph Neural Network. In International Conference on Learning Representations.

3. Gabriele Corso Luca Cavalleri Dominique Beaini Pietro Liò and Petar Velickovic. 2020. Principal Neighbourhood Aggregation for Graph Nets. In Advances in Neural Information Processing Systems. Gabriele Corso Luca Cavalleri Dominique Beaini Pietro Liò and Petar Velickovic. 2020. Principal Neighbourhood Aggregation for Graph Nets. In Advances in Neural Information Processing Systems.

4. Michaël Defferrard , Xavier Bresson , and Pierre Vandergheynst . 2016. Convolutional neural networks on graphs with fast localized spectral filtering. Advances in neural information processing systems ( 2016 ). Michaël Defferrard, Xavier Bresson, and Pierre Vandergheynst. 2016. Convolutional neural networks on graphs with fast localized spectral filtering. Advances in neural information processing systems (2016).

5. Graph Neural Architecture Search

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