heyichang
heyichang
CALL algo.louvain.stream('Account','follow', {weightProperty:'propertyName', defaultValue:1.0, concurrency:4}) YIELD nodeId, community cypher like that,you can't do that work in bigger graph which have 700000nodes and 3000000relations .
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Is it need huge computation for all of knowledge concepts embedding?And the predict answer from KG?
Hello Sir, Do you retrievals KG to reduce the number of facts? And the output is scores of candidates from KG?
Is the paper?
headers = { #'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36', 'User-Agent':'Googlebot-Image/1.0', # Pretend to be googlebot 'X-Forwarded-For': '64.18.15.200' } try this url 'https://i.pinimg.com/736x/94/8e/5e/948e5e26c5e79a6b7db24accf918e98f--jean-skirts-cowboy-boots.jpg' response = requests.get('https://i.pinimg.com/736x/94/8e/5e/948e5e26c5e79a6b7db24accf918e98f--jean-skirts-cowboy-boots.jpg',...
I really want to know ,how to use those algorithms?