Graph-To-Graph Translation

Graph-to-Graph Translation is a technique that converts an input graph structure into an output graph structure by learning the mapping relationship between graphs. This technology aims to achieve efficient transformation and generation of graph data and is widely applied in fields such as molecular structure optimization, social network analysis, and knowledge graph construction, effectively enhancing the flexibility and accuracy of graph data processing.