Comments (2)
VHRanger
commented on July 19, 2024
Thanks! I'll keep the issue open and start working on it when I have some time.
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VHRanger
commented on July 19, 2024
Hi,
The long term roadmap for this project is to dissociate away from gensim's word2vec implementation.
The plan is to support huge graph file-based fast training through memory-mapped graphs instead of this approach.
I'll close the issue for now, though I'm interested in more suggestions like this, especially if we end up keeping the gensim dependency around
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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
- word2vec parameters changed 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
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