Sgcn: A graph sparsifier based on graph convolutional networks J Li, T Zhang, H Tian, S Jin, M Fardad, R Zafarani Advances in Knowledge Discovery and Data Mining: 24th Pacific-Asia …, 2020 | 55 | 2020 |
Graph sparsification with graph convolutional networks J Li, T Zhang, H Tian, S Jin, M Fardad, R Zafarani International Journal of Data Science and Analytics, 1-14, 2022 | 17 | 2022 |
Exploiting common neighbor graph for link prediction H Tian, R Zafarani Proceedings of the 29th ACM International Conference on Information …, 2020 | 8 | 2020 |
Higher-order networks representation and learning: A survey H Tian, R Zafarani ACM SIGKDD Explorations Newsletter 26 (1), 1-18, 2024 | 5 | 2024 |
A spectral representation of networks: The path of subgraphs S Jin, H Tian, J Li, R Zafarani Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 4 | 2022 |
Exploiting cross-order patterns and link prediction in higher-order networks H Tian, S Jin, R Zafarani 2022 IEEE International Conference on Data Mining Workshops (ICDMW), 1-9, 2022 | 1 | 2022 |
SIGKDD explorations H Tian, R Zafarani, W Shiao, EE Papalexakis, AA Freitas, Z Chu, Z Wang, ... | | 2024 |