The prevalence of graph data has brought a lot of attention to cohesive and dense subgraph mining. In contrast with the large number of indexes proposed to help mine dense subgraphs in general graphs, ...

Solution to a graph theory problem meeting a specific time complexity constraint. Developed in C++ using the breadth-first search algorithm. Created in December 2021 as part of the Design and Analysis ...

Graph convolutional networks (GCNs) have attracted considerable interest in skeleton-based action recognition. Existing GCN-based models have proposed methods to learn dynamic graph topologies ...