数据集
import py2neoimport pandas as pdfrom py2neo import Graph, Node, Relationship, Subgraphg=Graph('http://localhost:7474',user='neo4j',password='neo4j')df = pd.read_csv('triples.csv',encoding='gbk')a = df[['entity','entitytag']]b = df[['tail','tail-tag']]b.columns = ['entity','entitytag']entity = pd.concat([a,b])# 因为头实体尾实体有些重复的，对实体去重entity.drop_duplicates(inplace=True)print(entity)node_lis = []# 创建节点for i in entity.values: node = Node(i[1], name = i[0]) node_lis.append(node)nodes=Subgraph(node_lis)g.create(nodes)# triple去重df.drop_duplicates(inplace=True)# 创建关系集合，为第一步创建的节点之间添加边lis = []count = 0for i in df.values: count += 1 print(count) c = g.nodes.match(i[1], name=i[0]).first() d = g.nodes.match(i[3], name=i[2]).first() rel_a = Relationship(c, str(i[4]), d) lis.append(rel_a)# 导入关系nodes = Subgraph(relationships=lis)g.create(nodes) 参考资料(12条消息) Python neo4j建立知识图谱，药品知识图谱，neo4j知识图谱，知识图谱的建立过程，智能用药知识图谱，智能问诊必备知识图谱_neo4j 知识图谱_医学小达人的博客-CSDN博客
