Chaotic Neural Oscillators with Deep Graph Neural Network for Node Classification

Author:

Zhang LeORCID,Lee Raymond S. T.ORCID

Publisher

Springer Nature Singapore

Reference20 articles.

1. Kipf, T.N., Welling, M.: Semi-supervised classification with graph convolutional networks. In: Proceedings of the 4th International Conference on Learning Representations (2016)

2. Hamilton, W., Ying, Z., Leskovec, J.: Inductive representation learning on large graphs. In: Proceedings of the 31st Conference on Neural Information Processing Systems, pp. 1024–1034 (2017)

3. Veličković, P., Cucurull, G., Casanova, A., Romero, A., Lio, P., Bengio, Y.: Graph attention networks. In: Proceedings of the 5th International Conference on Learning Representations (2017)

4. Thekumparampil, K.K., Wang, C., Oh, S., Li, L.J.: Attention based graph neural network for semi-supervised learning (2018). arXiv:1803.03735

5. Kipf, T.N., Welling, M.: Variational graph auto-encoders (2016). arXiv:1611.07308

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