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LHRLAB / NQE

[AAAI 2023] Official resources of "NQE: N-ary Query Embedding for Complex Query Answering over Hyper-relational Knowledge Graphs".
https://doi.org/10.1609/aaai.v37i4.25576
MIT License
22 stars 1 forks source link

Cannot reproduce the performance? #1

Open zhiweihu1103 opened 1 year ago

zhiweihu1103 commented 1 year ago

I use the parameters you provided to run the experiments, however, I cannot reproduce the results, can you help me? Below is the results: image

LHRLAB commented 1 year ago

Sorry. We have received your question, please wait for our verification.

zhiweihu1103 commented 1 year ago

Anything update?

LHRLAB commented 1 year ago

We found some minor issues with the WD50K-NFOL dataset, which we are fixing. We will re-upload the dataset download link soon.

zhiweihu1103 commented 1 year ago

Ok, looking forward to it, I hope to be able to give the running results of the new data set at the same time.

zhiweihu1103 commented 1 year ago

Any update about datasets?

slnxyr commented 1 year ago

Hi, where can I find WD50K-NFOL dataset?

LHRLAB commented 1 year ago

We are still working on WD50K-NFOL, which is not yet publicly available and is expected to be made public in early May.

zhiweihu1103 commented 1 year ago

Any update about datasets?

LHRLAB commented 1 year ago

Update in next week.

zhiweihu1103 commented 1 year ago

Any update about datasets?

slnxyr commented 1 year ago

Any update about datasets?

hi, I want to know can you evaluate inp query on the new dataset?