Graph Property Prediction

Graph Property Prediction is a technique that leverages graph-structured data to predict properties of the graph, aiming to infer global or local characteristics through analyzing nodes, edges, and their connectivity. This technology holds significant application value in social network analysis, bioinformatics, chemical molecular structure prediction, and other fields, effectively enhancing the accuracy and efficiency of decision support systems.