HyperAI

Graph Ranking

Graph Ranking is an analytical method designed for graph-structured data, aiming to rank nodes by evaluating their importance. Its primary goal is to identify the most influential nodes in a graph, thereby providing critical support for applications such as network analysis, information retrieval, and recommendation systems. By quantifying the centrality and connectivity of nodes, Graph Ranking can uncover potential patterns and key nodes within the graph structure, enhancing the accuracy and efficiency of decision-making.