Position-Aware Subgraph Neural Networks with Data-Efficient Learning-Reference-Cited by-同舟云学术

Position-Aware Subgraph Neural Networks with Data-Efficient Learning

Published:2023-02-27 Issue: Volume: Page:
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Container-title:Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining
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Author:

Liu Chang¹^ORCID,Yang Yuwen¹^ORCID,Xie Zhe¹^ORCID,Lu Hongtao¹^ORCID,Ding Yue¹^ORCID

Affiliation:

1. Shanghai Jiao Tong University, Shanghai, China

Funder

Shanghai Municipal Science and Technology Major Project, China

Natural Science Foundation of China

Huawei Technologies

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3539597.3570429

Reference56 articles.

1. Emily Alsentzer Samuel G. Finlayson Michelle M. Li and Marinka Zitnik. 2020. Subgraph Neural Networks. In NeurIPS. Emily Alsentzer Samuel G. Finlayson Michelle M. Li and Marinka Zitnik. 2020. Subgraph Neural Networks. In NeurIPS.

2. Next decade's goals for rare diseases

3. On lipschitz embedding of finite metric spaces in Hilbert space

4. A statistical framework for rare disease diagnosis;Bradley Conor A;NAT REV GENET,2020

5. Megnn: Meta-path extracted graph neural network for heterogeneous graph representation learning

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