This module provides Python classes for creating and managing graph structures that are compatible with BloodHound OpenGraph. The classes follow the BloodHound ...

In this article, the authors ask, to what extent are democratic integrity and resilience facets of the same coin, ...

Abstract: Graph Transformers, emerging as a new architecture for graph representation learning, suffer from the quadratic complexity and can only handle graphs with at most thousands of nodes. To this ...

Abstract: Loop closure detection and pose estimation play a significant role in correcting odometry trajectories and generating globally consistent point cloud maps. Geometric feature descriptor ...