Comments (2)
To my knowledge, this implementation update the gradient of sigmoid function to metapath vector no matter what the regularization function we choose.
Is it intended?
from hin2vec.
Hi, Thanks for asking. Yes, I use the gradient of sigmoid function to approximate the gradient of step function.
from hin2vec.
Related Issues (20)
- main.py and main_py.py are equivalent, right? HOT 2
- Modify code in main_py.py HOT 1
- if I have UBCaB meta_path, What should I change to get embedding vector for you code? HOT 1
- about dataset? HOT 3
- segmentation fault (core dumped) on Ubuntu HOT 3
- multiple processes Error in main_py.py HOT 1
- Index out of range HOT 2
- About output?
- A question about use tensorflow to implement hin2vec algorithm
- The main program is not generating vectors for all the nodes HOT 2
- Could you add a license?
- input format
- For these node classifications, why eliminate from HINs, groups in Blogcatalog, categories in Yelp, venues in DBLP and patent classes in U.S. Patents? when we learn the representation of nodes.
- use hin2vec to link predicition
- Multiple metapaths
- 'model_c' 不是内部或外部命令,也不是可运行的程序 HOT 1
- In a trained node_vector file, why does the dim of the last node vector get shorter?
- Key Error when test with a toy network HOT 2
- Seek the Link-prediction implementation source code HOT 3
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from hin2vec.