In spite of the huge advances in supervised learning, the common requirement for extensive
labeled datasets represents a severe bottleneck. In this scenario, other learning paradigms …

Due to the possibility of capturing complex relationships existing between nodes, many
applications benefit from being modeled with graphs. However, performance issues can be …

The exponential growth of image collections has demanded a significant increase in the use
of machine learning and image retrieval applications across various scenarios. Despite the …

Grafos são ferramentas poderosas, capazes de capturar relações complexas existentes
entre objetos. Em decorrência de sua robustez e flexibilidade, diversas aplicações podem …