Dense subgraph discovery seeks to identify tightly knit groups of vertices within a larger network by maximising a chosen density measure, most often the ratio of edges to vertices or the average ...

Detection methods based on deep convolutional networks search for interest points by constructing response maps using supervised, self-supervised, and unsupervised methods. Supervised methods use ...