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Yes, the model in HAN folder is indeed the HAN model.
NLAH is another model very similar to HAN in the sense that NLAH considers extra non-local features in addition to the local features considered in HAN.
We referred to NLAH implementation in the HAN model because the NLAH implementation supports sampling-based mini-batch training and therefore, we adopted and modified the NLAH implementation for HAN in our HNE project.
Hi, I am curious about why do you refer the source code of HAN as NLAH? Is the model in HAN folder HAN model?
https://github.com/yangji9181/HNE/tree/master/Model/HAN
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