3 papers
cs.DB2024
Hyperparametric Robust and Dynamic Influence Maximization
Arkaprava Saha, Bogdan Cautis, Xiaokui Xiao +1
We study the problem of robust influence maximization in dynamic diffusion networks. In line with recent works, we consider the scenario where the network can undergo insertion and…
cs.LG2024
Influence Maximization via Graph Neural Bandits
Yuting Feng, Vincent Y. F. Tan, Bogdan Cautis
We consider a ubiquitous scenario in the study of Influence Maximization (IM), in which there is limited knowledge about the topology of the diffusion network. We set the IM proble…
cs.SI2024
Predicting Cascading Failures with a Hyperparametric Diffusion Model
Bin Xiang, Bogdan Cautis, Xiaokui Xiao +3
In this paper, we study cascading failures in power grids through the lens of information diffusion models. Similar to the spread of rumors or influence in an online social network…