Comments (3)
Following bash command worked for me:
pip3 install -I gensim==3.8.0
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Thanks.
I can make a patch that checks the gensim version for now and routes the argument depending on the version.
Long term the idea would be to remove the gensim dependency entirely. It's a heavy dependency that's a moving target and only used for this one part of Node2Vec.
It has a lot of overhead for Node2Vec. For one, we need to map nodenames back from random walks to a format gensim accepts.
We could just train a word2vec model directly on the nodeIDs (ints, so would be faster) and re-map the embedding dictionary keys from nodeID -> node name only once after everything is trained.
This could be achieved either by stripping the node2vec C code and integrating it in CSRGraphs or by using another C/C++ implementation, like this one:
https://github.com/xgfs/node2vec-c
(which works on CSR representation already, not too far from csrgraphs) or this one:
https://github.com/snap-stanford/snap/tree/master/examples/node2vec
and integrating it into CSRGraphs.
from nodevectors.
Following bash command worked for me:
pip3 install -I gensim==3.8.0
That did not solve my problem. It is still there
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
- 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
- Old parameter shows up in Word2Vec call
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