What is the advantage of using features versus nodes, for example with a heterogeneous graph? For example, with the following datasets, when to use a sample node with X number of features versus a sample node with edges connecting to location, time, type, amount, unit, temperature, etc.? And assuming we categorize the continuous data, such as temp>30=“hot”, >0 && <30=“normal”, <0=“cold”.
file:samples.csv
id,location-name,time,type,amount,unit,temperature
0,aa, 1235, red, 2309857, mi/l, 31
1,bb, 3456, blue, 203975, c/kg, 18
file:locations.csv
id,name,lat,lon
0,aa,43.39849,93.30492
1,bb,34.09384,94.02940