A collection of papers on Graph representation learning via GAN.

1. GraphGAN: Graph Representation Learning with Generative Adversarial Nets AAAI 2018. paper code

   Hongwei Wang, Jia Wang, Jialin Wang, Miao Zhao, Weinan Zhang, Fuzheng Zhang, Xing Xie, Minyi Guo.

2. ProGAN: Network Embedding via Proximity Generative Adversarial Network KDD 2019. paper

   Hongchang Gao, Jian Pei, Heng Huang.

3. GraphSGAN: Semi-supervised Learning on Graphs with Generative Adversarial Nets CIKM 2018. paper code

   Ming Ding, Jie Tang, Jie Zhang.

4. GANE: A Generative Adversarial Network Embedding IEEE TNNLS 2020. paper code

   Huiting Hong, Xin Li, Mingzhong Wang.

5. HeGAN: Adversarial Learning on Heterogeneous Information Networks KDD 2019. paper code

   Binbin Hu, Yuan Fang, Chuan Shi.

6. AMIL: Adversarial Mutual Information Learning for Network Embedding IJCAI 2020. paper

   Dongxiao He, Lu Zhai, Zhigang Li, Di Jin, Liang Yang, Yuxiao Huang, Philip S. Yu.

7. DGGAN: Adversarial Directed Graph Embedding AAAI 2021. paper code

   Shijie Zhu, Hao Peng, Jianxin Li, Senzhang Wang, Lifang He

8. ANE: Adversarial Network Embedding AAAI 2018. paper

   Quanyu Dai, Qiang Li, Jian Tang, Dan Wang.

9. ARGA: Adversarially Regularized Graph Autoencoder for Graph Embedding IJCAI 2018. paper code

   Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang.

10. NETRA: Learning Deep Network Representations with Adversarially Regularized Autoencoders KDD 2018. paper code

    Wenchao Yu, Cheng Zheng, Wei Cheng, Charu Aggarwal, Dongjin Song, Bo Zong, Haifeng Chen, Wei Wang.

11. DB-GAN: Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning CVPR 2020. paper code

    Shuai Zheng, Zhenfeng Zhu, Xingxing Zhang, Zhizhe Liu, Jian Cheng, Yao Zhao.

12. ASeedNE: Self-Paced Network Embedding KDD 2018. paper

    Hongchang Gao, Heng Huang.

13. MEGAN: A Generative Adversarial Network for Multi-View Network Embedding IJCAI 2019. paper

    Yiwei Sun, Suhang Wang, Tsung-Yu Hsieh, Xianfeng Tang, Vasant Honavar.

14. MRGAE: Exploiting Node Content for Multiview Graph Convolutional Network and Adversarial Regularization COLING 2020. paper

    Qiuhao Lu, Nisansa de Silva, Dejing Dou, Thien Huu Nguyen, Prithviraj Sen, Berthold Reinwald, Yunyao Li.

15. ANESS: Adversarial network embedding using structural similarity Frontiers of Computer Science 2020. paper

    Zihan Zhou, Yu Gu, Ge Yu.

16. SNEGAN: Signed Network Embedding by Using Generative Adversarial Nets
 IEEE Transactions on Emerging Topics in Computational Intelligence 2020. paper

    Lijia Ma, Yuchun Ma, Qiuzhen Lin, Junkai Ji, Carlos A. Coello Coello, Maoguo Gong.

17. ASINE: Adversarial Signed Network Embedding SIGIR 2020. paper code

    Yeon-Chang Lee, Nayoun Seo, Kyungsik Han, Sang-Wook Kim.

18. CommunityGAN: Community Detection with Generative Adversarial Nets WWW 2019. paper code

    Yuting Jia, Qinqin Zhang, Weinan Zhang, Xinbing Wang.

19. DynGraphGAN: Dynamic Graph Embedding via Generative Adversarial Networks DASFAA 2019. paper

    Yun Xiong,Yao Zhan, Hanjie Fu, Wei Wang, Yangyong Zhu, Philip S. Yu.

20. TriATNE: Tripartite Adversarial Training for Network Embeddings IEEE Tcyb 2020. paper code

    Qidong Liu, Cheng Long, Jie Zhang, Mingliang Xu, Pei Lv.

21. ADGCN: Adversarial Graph Disentanglement ArXiv 2021. paper

    Shuai Zheng, Zhenfeng Zhu, Zhizhe Liu, Shuiwang Ji, Yao Zhao.