Comments (1)
This can be a good point.
We will provide python APIs in 0.2.0 release, at that time user can define their own Dataset loader.
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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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