Closed msaebi closed 4 years ago
Hi, can you provide the args you used?
Hi,
The arguments are representation size (128), and order (2). All other parameters are the default.
Thanks,
On Sat, Dec 29, 2018 at 6:44 AM Zhengyan Zhang notifications@github.com wrote:
Hi, can you provide the args you used?
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Do you have any comments or suggestions for my issue? I'd appreciate your help.
Do you mean that the entire graph is ok for your code and the training graph caused the error?
I'm not sure if it's the training graph or the way I've used your code. For link prediction, I run the following commands to get the embeddings on the training graph:
1.model = line.LINE(train_graph, rep_size=dim)
And it keeps running over and over until it throws the above errors, and never goes to line 2. While in fact in each run I can see the embeddings are generated.
Did you use line.LINE()
twice in the code? Just like line.LINE(whole_graph, rep_size=dim)
and line.LINE(train_graph, rep_size=dim)
.
No. Only once.
I eventually got it to work by running the shell command in the Jupyter notebook (using !
) For some reason, it works this way, but not using line.LINE()
.
I am using LINE for link prediction on my graph. When I run LINe on the entire graph, I get no error. However, when I run it on the training graph for link prediction, I get the following error:
_"ValueError: Variable model/embeddings1 already exists, disallowed. Did you mean to set reuse=True or reuse=tf.AUTOREUSE in VarScope?"
What I realized is that LINE keeps training multiple times, as if it never reaches a stopping loss. I guess that's where it needs to reuse the variable. I don't understand why this happens.
I set "reuse=tf.AUTO_REUSE" in tf.variablescope, to see if it stops after multiple training sessions, but after 2-3 training times I get the following error: "Trying to share variable model/embeddings1, but specified shape (518, 1) and found shape (517, 1)."_
Do you have any idea what's happening here?