2 papers
cs.LG2021
A Survey on Embedding Dynamic Graphs
Claudio D. T. Barros, Matheus R. F. Mendonça, Alex B. Vieira +1
Embedding static graphs in low-dimensional vector spaces plays a key role in network analytics and inference, supporting applications like node classification, link prediction, and…
cs.LG2020
Efficient Information Diffusion in Time-Varying Graphs through Deep Reinforcement Learning
Matheus R. F. Mendonça, André M. S. Barreto, Artur Ziviani
Network seeding for efficient information diffusion over time-varying graphs~(TVGs) is a challenging task with many real-world applications. There are several ways to model this sp…