Scalable Continuous-time Diffusion Framework for Network Inference and Influence Estimation.
Keke HuangRuize GaoBogdan CautisXiaokui XiaoPublished in: CoRR (2024)
Keyphrases
- lightweight
- main contribution
- computer networks
- bayesian networks
- information diffusion
- network model
- reinforcement learning
- graphical models
- theoretical framework
- complex networks
- continuous time bayesian networks
- web scale
- dynamic bayesian networks
- probabilistic inference
- communication networks
- network traffic
- parameter estimation