Citing¶
[Perozzi et al. (2014): Deepwalk: Online learning of social representations](http://arxiv.org/abs/1403.6652)
[Tang et al. (2015): Line: Large-scale informa- tion network embedding](http://arxiv.org/abs/1503.03578)
[Grover and Leskovec. (2016): node2vec: Scalable feature learning for networks](http://dl.acm.org/citation.cfm?doid=2939672.2939754)- [Cao et al. (2015):Grarep: Learning graph representations with global structural information ](http://dl.acm.org/citation.cfm?doid=2806416.2806512)
[Ou et al. (2016): Asymmetric transitivity preserving graph em- bedding](http://dl.acm.org/citation.cfm?doid=2939672.2939751)
[Qiu et al. (2017): Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec](http://arxiv.org/abs/1710.02971)
[Qiu et al. (2019): NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization](http://arxiv.org/abs/1710.02971)
[Zhang et al. (2019): Spectral Network Embedding: A Fast and Scalable Method via Sparsity](http://arxiv.org/abs/1806.02623)
[Kipf and Welling (2016): Semi-Supervised Classification with Graph Convolutional Networks](https://arxiv.org/abs/1609.02907)
[Hamilton et al. (2017): Inductive Representation Learning on Large Graphs](https://arxiv.org/abs/1706.02216)
[Veličković et al. (2017): Graph Attention Networks](https://arxiv.org/abs/1710.10903)
[Ding et al. (2018): Semi-supervised Learning on Graphs with Generative Adversarial Nets](https://arxiv.org/abs/1809.00130)
[Han et al. (2019): GroupRep: Unsupervised Structural Representation Learning for Groups in Networks](https://www.overleaf.com/read/nqxjtkmmgmff)
[Zhang et al. (2019): Revisiting Graph Convolutional Networks: Neighborhood Aggregation and Network Sampling](https://www.overleaf.com/read/xzykmvhxjmxy)
[Zhang et al. (2019): Co-training Graph Convolutional Networks with Network Redundancy](https://www.overleaf.com/read/fbhqqgzqgmyn)
[Qiu et al. (2019): NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization](http://keg.cs.tsinghua.edu.cn/jietang/publications/www19-Qiu-et-al-NetSMF-Large-Scale-Network-Embedding.pdf)
[Zhang et al. (2019): ProNE: Fast and Scalable Network Representation Learning](https://www.overleaf.com/read/dhgpkmyfdhnj)
[Cen et al. (2019): Representation Learning for Attributed Multiplex Heterogeneous Network](https://arxiv.org/abs/1905.01669)