Comments (11)
The entity name to id mapping is supposed provided by the user or if you use dglke to train the model, it will generate one for you.
Are you use '--raw_data' ?
You can look at: https://dglke.dgl.ai/doc/predict.html for details of the command args of predict toolkit, and https://dglke.dgl.ai/doc/format_kg.html#format-of-user-defined-knowledge-graph for the format of input data.
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Hi, I did use dglke to train on FB15k, which did not generate a entities.dict for me.
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FB15k has entities.dict already after the dataset is downloaded: https://dglke.dgl.ai/doc/format_kg.html#format-of-built-in-knowledge-graph.
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I understand that.
However, when I use --raw_data, it asks me to provide mfile, which is the mapping file between entity name and the id in the model. Where this mfile which is entities.dict is not in the github repo, nor not in the data download link you provided. I can not select some option so that it allows me to "use system provided fb15k so I don't need to point to the mfile".
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It should be under data/FB15k/ if you have already use dglke_train to train the model.
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That's the problem. I trained it and it's not there.
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I followed each and every step in the notebook, and did not get a entities.dict. That's why I'm asking here. Thanks.
There is no FB15k folder, nor is there a entities.dict in the wikimedia folder.
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Did you find other files like: train.txt, valid.txt and test.txt?
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oh actually, it's just named differently. It's entities.tsv not .dict.
Sorry for asking the question
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Glad you have solved the problem:)
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Glad you have solved the problem:)
Can you please update the notebook, and the documentation.
Cheers
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Related Issues (20)
- Upgrade DGL dependency HOT 2
- Can DGL_KE models be implemented on dynamic knowledge graphs? HOT 1
- Force dtype to int64 to ensure that we don't index with non-long tensor
- IndexError: list index out of range when training on raw user defined knowledge graph HOT 4
- Support Adam or Adagrad HOT 8
- Can not install dgl 0.4.3 HOT 4
- DGLBACKEND s not recognized as an internal or external command HOT 1
- No module named 'ogb
- whether just assign vertexes but not the edges together with on graph partition when use METIS
- [BUG] Quick start example code does not work HOT 4
- dgl.__version__ >= 0.8 breaks on partition.py HOT 2
- RuntimeError: Cannot re-initialize CUDA in forked subprocess HOT 1
- Multi-gpu training is not effective on specific cases
- `graph.HeteroGraph` Error happened when running example HOT 1
- !DGLBACKEND=pytorch dglke_train Not Working HOT 1
- pytorch dglke_train Not Working, Expected type graph.Graph but get graph.HeteroGraph HOT 3
- can't train my KG ,it keeps telling me 'AssertionError: test set is not provided' HOT 1
- Installation error, no corresponding version HOT 1
- DGL-KE TransR Predict Error
- 'dgl' has no attribute '_deprecate'
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