- [Abusive language detection using graph convolutional networks]
- Yao, Liang, Chengsheng Mao, and Yuan Luo. "Graph convolutional networks for text classification." arXiv preprint arXiv:1809.05679 (2018). AAAI 2019
- Vashishth, Shikhar, et al. "Dating documents using graph convolution networks." arXiv preprint arXiv:1902.00175 (2019). ACL 2018
- Zhang, Yuhao, Peng Qi, and Christopher D. Manning. "Graph convolution over pruned dependency trees improves relation extraction." arXiv preprint arXiv:1809.10185 (2018). EMNLP 2018
- Marcheggiani, Diego, Joost Bastings, and Ivan Titov. "Exploiting semantics in neural machine translation with graph convolutional networks." arXiv preprint arXiv:1804.08313 (2018).
- Beck, Daniel, Gholamreza Haffari, and Trevor Cohn. "Graph-to-sequence learning using gated graph neural networks." arXiv preprint arXiv:1806.09835 (2018). ACL 2018
- Liu, Bang, et al. "Matching long text documents via graph convolutional networks." arXiv preprint arXiv:1802.07459 (2018).
- Marcheggiani, Diego, and Ivan Titov. "Encoding sentences with graph convolutional networks for semantic role labeling." arXiv preprint arXiv:1703.04826 (2017). EMNLP 2017
- Search results on Arxiv
- Wu, Felix, et al. "Simplifying Graph Convolutional Networks." arXiv preprint arXiv:1902.07153 (2019).
- Hu, Fenyu, et al. "Semi-supervised Node Classification via Hierarchical Graph Convolutional Networks." arXiv preprint arXiv:1902.06667 (2019). ICLR 2017
- Xu, Keyulu, et al. "How Powerful are Graph Neural Networks?." arXiv preprint arXiv:1810.00826 (2018). [Slides]
- Zhou, Jie, et al. "Graph Neural Networks: A Review of Methods and Applications." arXiv preprint arXiv:1812.08434 (2018).
- Wu, Zonghan, et al. "A comprehensive survey on graph neural networks." arXiv preprint arXiv:1901.00596 (2019).
- Battaglia, Peter W., et al. "Relational inductive biases, deep learning, and graph networks." arXiv preprint arXiv:1806.01261 (2018).
- https://github.com/thunlp/GNNPapers
- A Higher-Order Graph Convolutional Layer (PyTorch): https://github.com/benedekrozemberczki/NGCN
- Graph Convolutional Networks (TensorFlow): https://github.com/tkipf/gcn
- Graph Convolutional Networks (Keras): https://github.com/tkipf/keras-gcn
- Graph convolutional layers (Keras): https://github.com/CyberZHG/keras-gcn