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https://cs.stanford.edu/people/jure/pubs/node2vec-kdd16.pdf
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Hi, I recently read you paper published in SC2020. The paper used node2vec to demonstrate the system design. However, I do not find this application in the source code, and the api cannot figure out t…
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https://buracagyang.github.io/2020/01/05/graph-embedding-node2vec/#more
关于Graph Embedding系列的论文翻译解读文章: 【Graph Embedding】DeepWalk 【Graph Embedding】line 【Graph Embedding】node2Vec … 参考资料paper: https://…
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Node2vec and DeepWalk original proposals are built upon the skip-gram model. By default, nodevectors does not set the parameter ```w2vparams["sg"]``` to 1, therefore the underlying Word2Vec model uses…
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Hello there,
what is the correct way to separate training from inference?
Is this correct?
I run the training first, save the embeddings.
Then I load a new graph and do the most similar?
```
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#### Problem description
parameter topN=False is not working in similar_by_vector. I got empty list when set topN=False.
#### Steps/code/corpus to reproduce
```Python
full_node2vec_mo…
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Hello,
I;m working through chapter 4. In the prediction of the test set, you use train_mask_str in the book but in your [gh code](https://github.com/PacktPublishing/Hands-On-Graph-Neural-Networks…
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Hi, I want to apply node2vec on MNIST dataset, How can I apply node2vec on those datasets which contains only features like X = 1708 x 738 here 1708 are nodes and 738 are features
Can I apply nod…
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https://github.com/RoyZhengGao/edge2vec/blob/e6637e638919b364ac081826c68879daf182ae73/transition.py#L108
Hi Zheng Gao:
I applied edge2vec to @dhimmel hetionet, it has more than 2 million edges. …