Graph Structure Prompt Learning: A Novel Methodology to Improve Performance of Graph Neural Networks

Author:

huang zhenhua,Li Kunhao,Wang Shaojie,Jia Zhaohong,Zhu Wentao

Publisher

Elsevier BV

Reference71 articles.

1. Computing graph neural networks: A survey from algorithms to accelerators;S Abadal;ACM Computing Surveys (CSUR),2021

2. Mm-gnn: Mix-moment graph neural network towards modeling neighborhood feature distribution;W Bi;Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining,2023

3. Graph neural networks with convolutional arma filters;F M Bianchi;IEEE Transactions on Pattern Analysis and Machine Intelligence URL,2021

4. Deep gaussian embedding of graphs: Unsupervised inductive learning via ranking;A Bojchevski;Proceedings of International Conference on Learning Representations,2018

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