When I ma running lightgcn model with negative and postive samples still it is saying 'negative_sample' parameter to be true. I want to make it false because I already have negative sample in my data.
bpr loss belongs to pairwise loss, which is complicated to process with users providing both negative and positive samples. So it only supports negative sampling, see Caution in Loss.
When I ma running lightgcn model with negative and postive samples still it is saying 'negative_sample' parameter to be true. I want to make it false because I already have negative sample in my data.