APA (7th ed.) Citation

Tian, S., Mo, S., Wang, L., & Peng, Z. (2020). Deep Reinforcement Learning-Based Approach to Tackle Topic-Aware Influence Maximization. Data Science and Engineering, 5(1), 1-11. https://doi.org/10.1007/s41019-020-00117-1

Chicago Style (17th ed.) Citation

Tian, Shan, Songsong Mo, Liwei Wang, and Zhiyong Peng. "Deep Reinforcement Learning-Based Approach to Tackle Topic-Aware Influence Maximization." Data Science and Engineering 5, no. 1 (2020): 1-11. https://doi.org/10.1007/s41019-020-00117-1.

MLA (9th ed.) Citation

Tian, Shan, et al. "Deep Reinforcement Learning-Based Approach to Tackle Topic-Aware Influence Maximization." Data Science and Engineering, vol. 5, no. 1, 2020, pp. 1-11, https://doi.org/10.1007/s41019-020-00117-1.