Hello everyone, I am Weixue AI. Today I will introduce you to the practical application of knowledge graph 23-[Advanced usage of knowledge graph] Cypher query statement example of Neo4j graph algorithm. Neo4j graph algorithm is a set of algorithms that run on Neo4j graph database gather. These algorithms are designed specifically for the graph data structure and are used to analyze, query, and process graph data. Graph algorithms can help us discover patterns, relationships, clusters, and other useful information in graphs.
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Neo4j graph algorithm
Neo4j graph algorithm Cypher query
algo algorithm library installation
Summary
Neo4j graph algorithm
Neo4j is a popular graph database that provides many graph algorithms for graph data analysis and mining. The following are some commonly used Neo4j graph algorithms:
Shortest Path Algorithm (Shortest Path): To calculate the shortest path between two nodes, you can use Dijkstra algorithm or A* algorithm.
Minimum Spanning Tree algorithm (Minimum Spanning Tree): Find a subgraph containing all nodes in a connected graph, and the sum of edge weights is the smallest. Commonly used algorithms are Prim's algorithm and Kruskal's algorithm.
Community Detection Algorithm (Community Detection): Identify closely connected node groups in the graph. Commonly used algorithms include Louvain algorithm and Label Propagation algorithm.
PageRank algorithm (PageRank): used to measure the importance of nodes in the network, based on the evaluation of the link relationship between nodes.
Similarity algorithm (Similarity): Calculate the similarity between nodes or subgraphs, such as Jaccard similarity and Cos