| Graph neural networks for social recommendation W Fan, Y Ma, Q Li, Y He, E Zhao, J Tang, D Yin The World Wide Web Conference, 417-426, 2019 | 242 | 2019 |
| Adversarial attacks and defenses in images, graphs and text: A review H Xu, Y Ma, HC Liu, D Deb, H Liu, JL Tang, AK Jain International Journal of Automation and Computing 17 (2), 151-178, 2020 | 106 | 2020 |
| Signed graph convolutional networks T Derr, Y Ma, J Tang 2018 IEEE International Conference on Data Mining (ICDM), 929-934, 2018 | 79 | 2018 |
| Graph convolutional networks with eigenpooling Y Ma, S Wang, CC Aggarwal, J Tang Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 73 | 2019 |
| Multi-dimensional network embedding with hierarchical structure Y Ma, Z Ren, Z Jiang, J Tang, D Yin Proceedings of the eleventh ACM international conference on web search and …, 2018 | 48 | 2018 |
| Multi-dimensional graph convolutional networks Y Ma, S Wang, CC Aggarwal, D Yin, J Tang Proceedings of the 2019 SIAM International Conference on Data Mining, 657-665, 2019 | 33 | 2019 |
| Graph structure learning for robust graph neural networks W Jin, Y Ma, X Liu, X Tang, S Wang, J Tang Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 29 | 2020 |
| Streaming Graph Neural Networks Y Ma, Z Guo, Z Ren, E Zhao, J Tang, D Yin arXiv preprint arXiv:1810.10627, 2018 | 28 | 2018 |
| R-transformer: Recurrent neural network enhanced transformer Z Wang, Y Ma, Z Liu, J Tang arXiv preprint arXiv:1907.05572, 2019 | 22 | 2019 |
| Deep adversarial social recommendation W Fan, T Derr, Y Ma, J Wang, J Tang, Q Li arXiv preprint arXiv:1905.13160, 2019 | 21 | 2019 |
| Traffic flow prediction via spatial temporal graph neural network X Wang, Y Ma, Y Wang, W Jin, X Wang, J Tang, C Jia, J Yu Proceedings of The Web Conference 2020, 1082-1092, 2020 | 19 | 2020 |
| Deep social collaborative filtering W Fan, Y Ma, D Yin, J Wang, J Tang, Q Li Proceedings of the 13th ACM Conference on Recommender Systems, 305-313, 2019 | 17 | 2019 |
| Attacking graph convolutional networks via rewiring Y Ma, S Wang, T Derr, L Wu, J Tang arXiv preprint arXiv:1906.03750, 2019 | 17 | 2019 |
| Epidemic graph convolutional network T Derr, Y Ma, W Fan, X Liu, C Aggarwal, J Tang Proceedings of the 13th International Conference on Web Search and Data …, 2020 | 9 | 2020 |
| Preserving local and global information for network embedding Y Ma, S Wang, ZC Ren, D Yin, J Tang arXiv preprint arXiv:1710.07266, 2017 | 7 | 2017 |
| A unified view on graph neural networks as graph signal denoising Y Ma, X Liu, T Zhao, Y Liu, J Tang, N Shah arXiv preprint arXiv:2010.01777, 2020 | 3 | 2020 |
| Network embedding with centrality information Y Ma, S Wang, J Tang 2017 IEEE International Conference on Data Mining Workshops (ICDMW), 1144-1145, 2017 | 1 | 2017 |
| Local and global information preserved network embedding Y Ma, S Wang, J Tang 2018 IEEE/ACM International Conference on Advances in Social Networks …, 2018 | | 2018 |
| Feature Engineering for Data Streams Y Ma, J Tang, C Aggarwal | | |
Jiliang TangMichigan State UniversityVerified email at msu.edu
