1. Jie Chen , Tengfei Ma , and Cao Xiao . 2018. Fastgcn: fast learning with graph convolutional networks via importance sampling. arXiv preprint arXiv:1801.10247 ( 2018 ). Jie Chen, Tengfei Ma, and Cao Xiao. 2018. Fastgcn: fast learning with graph convolutional networks via importance sampling. arXiv preprint arXiv:1801.10247 (2018).
2. Johannes Gasteiger , Stefan Weißenberger , and Stephan Günnemann . 2019. Diffusion improves graph learning. Advances in neural information processing systems , Vol. 32 ( 2019 ). Johannes Gasteiger, Stefan Weißenberger, and Stephan Günnemann. 2019. Diffusion improves graph learning. Advances in neural information processing systems, Vol. 32 (2019).
3. node2vec
4. Will Hamilton , Zhitao Ying , and Jure Leskovec . 2017a. Inductive representation learning on large graphs. Advances in neural information processing systems , Vol. 30 ( 2017 ). Will Hamilton, Zhitao Ying, and Jure Leskovec. 2017a. Inductive representation learning on large graphs. Advances in neural information processing systems, Vol. 30 (2017).
5. William L Hamilton , Rex Ying , and Jure Leskovec . 2017b. Representation learning on graphs: Methods and applications. arXiv preprint arXiv:1709.05584 ( 2017 ). William L Hamilton, Rex Ying, and Jure Leskovec. 2017b. Representation learning on graphs: Methods and applications. arXiv preprint arXiv:1709.05584 (2017).