A2GCN: Graph Convolutional Networks with Adaptive Frequency and Arbitrary Order
Author:
Funder
Nanjing University of Science and Technology
Publisher
Elsevier BV
Reference40 articles.
1. Exploratory adversarial attacks on graph neural networks for semi-supervised node classification;Lin;Pattern Recognit.,2023
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3. Graph neural network encoding for community detection in attribute networks;Sun;IEEE Trans. Cybern.,2021
4. Scoring disease-microRNA associations by integrating disease hierarchy into graph convolutional networks;Pan;Pattern Recognit.,2020
5. T.N. Kipf, M. Welling, Semi-supervised classification with graph convolutional networks, in: International Conference on Learning Representations, 2016.
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