Comments (3)
The parameters in the Node2Vec
class are to stay consistent with SKLearn conventions (n_components
and epochs
)
Do you mean the ones passed to gensim are erroneous?
from nodevectors.
Yes, the parameter names in the constructor of gensim.models.Word2Vec were changed.
Sorry for the misunderstanding.
from nodevectors.
Ah, actually it's tracked here:
I'll close this one and resolve the other one right away
from nodevectors.
Related Issues (20)
- Embedding a VERY LARGE graph, upcoming? HOT 2
- When saving large graph, creating a temporary folder will cause the system disk resources to be exhausted. HOT 1
- Issue with gensim 4.0.0+ HOT 3
- is it possible to split n2v to generate walks only? HOT 4
- node2vec uses CBOW instead of skip-gram HOT 4
- Setting value of seed to make Node2vec embedding repeatable. HOT 1
- Print training progression (node2vec)? HOT 1
- Continue fitting process HOT 2
- Has node2vec implementation been updated to use skip-gram as default? HOT 3
- About painting HOT 1
- defining random state or seed option parameters HOT 3
- Why is generating walks so slow with non-default parameters? HOT 3
- Problem with underlying Word2vec HOT 1
- G.mat got an asymmetric sparse matrix
- ProNE option: "inconsistent shapes" error
- Node2Vec:About the return_weight and neighbor_weight
- ProNE multithread HOT 1
- NetworkX 3.0 remove adj_matrix in version HOT 1
- Old parameter shows up in Word2Vec call
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from nodevectors.