EdgeGNN-Transformer: Extract the Change Edge Signal in Power Grid Management-Reference-Cited by-同舟云学术

EdgeGNN-Transformer: Extract the Change Edge Signal in Power Grid Management

Published:2023-09-22 Issue: Volume: Page:
ISSN:
Container-title:2023 7th International Conference on Smart Grid and Smart Cities (ICSGSC)
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Author:

Qiu Weijiang¹,Chen Jilin¹,Liu Nana²,Zeng Guanqi³

Affiliation:

1. (China Electric Power Research Institute),National Key Laboratory of Power Grid Safety,Beijing,China

2. China Electric Power Research Institute Co., Ltd.,Beijing,China

3. Nanjing Boltzmann Information Technology Co., Ltd. Shanghai TensorFly Information Technology Co., Ltd.,Nanjing,China

Publisher

IEEE

Link

Reference16 articles.

1. Dueling network architectures for deep reinforcement learning;wang;In Proceedings of the 33th International Conference on Machine Learning,2016

3. Do transformers really perform badly for graph representation?;ying;Advances in neural information processing systems,2021

4. Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor;haarnoja,2018

5. Attention is all you need;vaswani;Advances in neural information processing systems,2017

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