How to do inference

[moktayoglu]

Hello,

I am trying to do inference with the trained model with new time points. How do we do that? Can you help?

I tried using global_model.predict however it only gave the same results. Is there another way to do it?

Thanks!

[Atakanzsn]

facing with the same question, any solutions?

[woojeongjin]

Hi Could you elaborate the issue? What dataset are you using?

[moktayoglu]

Hi, i am using a dataset i created using protein interactions. But want to use the trained model to create predictions for unseen datapoints.

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On Wed, Aug 17, 2022, 7:23 PM Woojeong Jin ***@***.***> wrote: Hi Could you elaborate the issue? What dataset are you using? — Reply to this email directly, view it on GitHub <#66 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/ARJIGM3GGPQXMPT2TSMH75LVZVX5XANCNFSM52DKRHQQ> . You are receiving this because you authored the thread.Message ID: ***@***.***>

[moktayoglu]

for larger time stamps than the test set. On Wed, Aug 17, 2022, 7:25 PM MELIS OKTAYOGLU ***@***.***> wrote:

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Hi, i am using a dataset i created using protein interactions. But want to use the trained model to create predictions for unseen datapoints. On Wed, Aug 17, 2022, 7:23 PM Woojeong Jin ***@***.***> wrote: > Hi Could you elaborate the issue? What dataset are you using? > > — > Reply to this email directly, view it on GitHub > <#66 (comment)>, > or unsubscribe > <https://github.com/notifications/unsubscribe-auth/ARJIGM3GGPQXMPT2TSMH75LVZVX5XANCNFSM52DKRHQQ> > . > You are receiving this because you authored the thread.Message ID: > ***@***.***> >

[woojeongjin]

There should be some rules for timestamps as described in the paper:

1. The timestamps are discrete integers and have equal intervals.
2. The timestamps of the test set should be after those of the training set.

Please follow these rules!

[moktayoglu]

Hi, i guess i wasnt clear. I can do inference for test dataset but can we do predictions when there is no ground truth, for time stamps larger than the test set. For example I have trained the model on time stamps 0-160, validated for 160-180, tested for 180-200. Is there a way I can create predictions for 200-250?

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On Wed, Aug 17, 2022, 7:35 PM Woojeong Jin ***@***.***> wrote: There should be some rules for timestamps: 1. The timestamps are discrete integers and have equal intervals. 2. The timestamps of the test set should be after those of the training set. — Reply to this email directly, view it on GitHub <#66 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/ARJIGM6ZDWNT3WJJOERLGCLVZVZNLANCNFSM52DKRHQQ> . You are receiving this because you authored the thread.Message ID: ***@***.***>

[woojeongjin]

Sure you can do that.
You can refer to the predicted graph in the inference code which is for creating a graph at each time stamp.
First, you sample subjects, then relations, and then objects at a certain time stamp.
With this set of triples, you have a graph at the time stamp.

[moktayoglu]

Could you elaborate? How to proceed after training, validating and testing?

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On Wed, Aug 17, 2022, 8:03 PM Woojeong Jin ***@***.***> wrote: Sure you can do that. The predicted graph in the code is for creating a graph at each time stamp. First, you sample subjects, then relations, and then objects at a certain time stamp. With this set of triples, you have a graph at the time stamp. — Reply to this email directly, view it on GitHub <#66 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/ARJIGM3REBVJ67VZUNKQ63DVZV4V3ANCNFSM52DKRHQQ> . You are receiving this because you authored the thread.Message ID: ***@***.***>

[moktayoglu]

Hello, Could you provide some help with it? On Thu, Aug 18, 2022 at 3:21 AM MELIS OKTAYOGLU ***@***.***> wrote:

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Could you elaborate? How to proceed after training, validating and testing? On Wed, Aug 17, 2022, 8:03 PM Woojeong Jin ***@***.***> wrote: > Sure you can do that. > The predicted graph in the code is for creating a graph at each time > stamp. > First, you sample subjects, then relations, and then objects at a certain > time stamp. > With this set of triples, you have a graph at the time stamp. > > — > Reply to this email directly, view it on GitHub > <#66 (comment)>, > or unsubscribe > <https://github.com/notifications/unsubscribe-auth/ARJIGM3REBVJ67VZUNKQ63DVZV4V3ANCNFSM52DKRHQQ> > . > You are receiving this because you authored the thread.Message ID: > ***@***.***> >

[dnanad]

Hey hi, did you manage to compete this? I am curious about your use case!

Hello, Could you provide some help with it? On Thu, Aug 18, 2022 at 3:21 AM MELIS OKTAYOGLU @.> wrote:
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Could you elaborate? How to proceed after training, validating and testing? On Wed, Aug 17, 2022, 8:03 PM Woojeong Jin @.> wrote: > Sure you can do that. > The predicted graph in the code is for creating a graph at each time > stamp. > First, you sample subjects, then relations, and then objects at a certain > time stamp. > With this set of triples, you have a graph at the time stamp. > > — > Reply to this email directly, view it on GitHub > <#66 (comment)>, > or unsubscribe > https://github.com/notifications/unsubscribe-auth/ARJIGM3REBVJ67VZUNKQ63DVZV4V3ANCNFSM52DKRHQQ > . > You are receiving this because you authored the thread.Message ID: > @.***> >