Hi, i have csv files with fairly large number of rows(<10M for now). I have to read that
csv and create nodes and relationships among them in neo4j. I'm using pandas for csv data manipulation and py2neo for node and relation creation. But the problem is that for a dataset as small as 500,000 rows it is taking hours(>10 hours) to read data, create nodes and relationships in the graph DB. Is there any solution to this ?