Comments (3)
Do you mean all models, just the Conv* models, or ConvKB with specific parameters?
As per the changelog for Ampligraph v2.0:
- ConvKB, ConvE, ConvE(1-N) not supported anymore as they are computationally expensive and thus not commonly used.
My problem, I read the old manuals,Thanks!
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Do you mean all models, just the Conv* models, or ConvKB with specific parameters?
As per the changelog for Ampligraph v2.0:
- ConvKB, ConvE, ConvE(1-N) not supported anymore as they are computationally expensive and thus not commonly used.
from ampligraph.
Do you mean all models, just the Conv* models, or ConvKB with specific parameters?
As per the changelog for Ampligraph v2.0:
- ConvKB, ConvE, ConvE(1-N) not supported anymore as they are computationally expensive and thus not commonly used.
ComplEx lead to same mistake
from ampligraph.
Related Issues (20)
- 'ConvKB' object has no attribute 'corr_batch_size' HOT 1
- load_from_ntriples() doesn't work as expected HOT 1
- Migrate to tensor flow 2 HOT 5
- https://github.com/Accenture/AmpliGraph/blob/d4bf44559cb7178039f21203780be4eb946ea4eb/experiments/IJCAI-21/experiments.py#L12 HOT 1
- ConvE has no attribute tensorboard_logs_path
- generate_candidates() doesn't work as expected - generates same triplet
- Refit a trained model with new triplets HOT 3
- Implement NodePieces HOT 1
- FocusE-ComplEx: Question on using numeric edge weight attributes - prediction performance (MRR) and embeddings are very similar between models with and without edge weights
- discovery.py library, discover_facts function, when returning np.hstack if some array is empty
- Can we pass custom trained embedding as entity and then train the model?
- Multiple GPU for training
- AttributeEerro while running the code HOT 1
- Train and Test Data split error HOT 2
- Ampligraph Embedding for Protein Sequences
- AttributeError: 'ScoringBasedEmbeddingModel' object has no attribute '_reset_compile_cache' HOT 5
- AttributeError: 'ScoringBasedEmbeddingModel' object has no attribute '_reset_compile_cache'
- Question: Is it possible to integrate two embedding model?
- file should be inside "ampligraph_datasets" directory to be able to load as dataset
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