Ying Zha

Rotation- and Permutation-Equivariant Quantum Graph Neural Network for 3D Graph Data

2025 · IEEE Transactions on Pattern Analysis and Machine Intelligence

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 failing to fully exploit the geometric and non-geometric …