Equivariant quantum graph neural networks (EQGNNs) offer a potentially powerful method to process graph data. However, existing EQGNN models only consider the permutation symmetry of graphs, and ...

If robot orientations were known, pose graph optimization would be a linear least-squares problem, whose solution can be computed efficiently and reliably. Since rotations are the actual reason why ...

Download this 180 Rotation Graph Rectangular Orthogonal Coordinate Plane With Axes X And Y On A Squared Grid Math Scale Template Vector Illustration Isolated On White Background vector illustration ...

Contribution Present a new approach for knowledge graph embedding called RotatE, which is able to model and infer various relation patterns including: symmetry/antisymmetry, inversion, and composition ...

Sketch derived, inverse or other related functions using graph translations. Complete the square and find composite functions for Higher Maths.