Comments (4)
classicsong
commented on August 22, 2024
You can try use the dglke_predict and predict the scores for each r between h and t. The the top1 will be most relevant relation.
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dchang56
commented on August 22, 2024
I think you're referring to relation classification. I'm referring to the binary classification task that involves 1:1 negative sampling of the valid/test splits to see which triplets are true/false.
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classicsong
commented on August 22, 2024
How about change the graph into only one relation type?
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nasimshm
commented on August 22, 2024
Hi would you please elaborate how do you suggest to do a triplet classification? This task learns for each relation a threshold using which we can classify the triplets as true or false. So, I don't understand how changing the graph into only one relation can help? Would you please explain? Thanks!
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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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