Graph Condensation for Inductive Node Representation Learning-Reference-Cited by-同舟云学术

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Graph Condensation for Inductive Node Representation Learning

Published:2024-05-13 Issue: Volume:34 Page:3056-3069
ISSN:
Container-title:2024 IEEE 40th International Conference on Data Engineering (ICDE)
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Author:

Gao Xinyi¹,Chen Tong¹,Zang Yilong²,Zhang Wentao³,Hung Nguyen Quoc Viet⁴,Zheng Kai⁵,Yin Hongzhi¹

Affiliation:

1. The University of Queensland,Brisbane,Australia

2. German Research Centre for Artificial Intelligence (DFKI),Kaiserslautern,Germany

3. Peking University,Beijing,China

4. Griffith University,Gold Coast,Australia

5. University of Electronic Science and Technology of China,Chengdu,China

Funder

Australian Research Council

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10597630/10597390/10597970.pdf?arnumber=10597970

Reference58 articles.

1. Graph Neural Networks in Recommender Systems: A Survey

2. PaSca: A Graph Neural Architecture Search System under the Scalable Paradigm

3. StreamRec

4. Session-Based Recommendation with Graph Neural Networks

5. A Semi-Supervised Graph Attentive Network for Financial Fraud Detection

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