metapath2vec's People
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How to train the model using batch_size?
Looks like I need to modify “get_negative_samples” function in dataset.py. However, i meet some bugs that cant be fixed...
It seems like no implementation of metapath-based random walks.
It seems like no implementation of metapath-based random walks. Any help for finding it? or is it quit easy to implement it ?
How the get meta path?
Thanks for provide this tf implementation. I'm confused about the meta path. If I have a heterogeneous Network with only two kinds of nodes, denote A and B. Is there only two kinds meta path A-B-A and B-A-B?
how long does it need to train in dbis dataset and does it need gpu to speed up?what is the version of your tensorflow?thank you very much!
which data file in the paper corresponds ’node_type_mapping_txt‘ file in this codes?
On the author's website,I can not find the corresponding text files which has node types
metapath strategy: strictly or non strictly?
for v ∈ V do
MP = MetaPathRandomWalk(G, P, v, l) ;
X = HeterogeneousSkipGram(X, k, MP) ;
end
if the type of v is not equal to the first of your input metapath P, then you will skip it and use the next node v or choose the neighborhood node of v in its appropriate type in P. For example, the metapath is "author-conf-author" and node v is a conf, i wonder should i choose one author node of conf v according the partial path "conf-author" of the metapath P? or we skip the node v until we get an author node to match the metapath "author-conf-author" strictly ?
I appreciate your answer on it, Thanks!
where can I get the implementation of the first author of the paper
where can I get the implementation of the first author of the paper ?I can‘t find it in github。
thank you very much if you can give me a link。
meta-path generates random walk?
Question:
Hi:
How is your random walk corpus generated?Have you ever written code?
Thanks!
pros with node embeddings
Hi, thanks for your amazing work. I wonder what's the meaning of the node embedding and index2node, it's the relation computed by the model?
Have you used this code to verify the experiment in the paper? How is the result compared to the paper?
Have you used this code to verify the experiment in the paper? How is the result compared to the paper?
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