Graph Reconstruction

Graph Reconstruction refers to the process of recovering the complete structure of a graph from partial or damaged graph data. Its objective is to infer the missing parts using the known information about nodes and edges, to reconstruct the original topological structure of the graph. This technique has significant application value in social network analysis, bioinformatics, recommendation systems, and other fields, as it can effectively enhance data integrity and model accuracy.