Comments (1)
Rshcaroline
commented on September 7, 2024
Hi Shihan,
For some datasets, like NELL, we don't train on all the tuples in the graph so the train set is much smaller than the graph. Also, graph.txt contains the inverse relations that we don't train the RL agent.
Full_graph if there is just the sum of train/dev. It's only used to mask out the other positive answers during inference.
Hope that clarifies your questions!
-Shehzaad
from minerva.
Related Issues (20)
- Table 4 experiments HOT 7
- Reproduce Kinship, FB15k-237 results HOT 5
- sharing the pre-trained embeddings learned by Dismult HOT 1
- Reproduce WN18RR results HOT 7
- parameter settings used in paper
- train/dev/test split HOT 4
- Unable to load the saved_model HOT 4
- Encode the relation and entity ? HOT 4
- Question in code/model/trainer.py HOT 1
- num_rollouts HOT 2
- Testing problem HOT 7
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- Export the mode using `tf.saved_model` and deploy it to production environment HOT 1
- On comparison of MINERVA with other KBE baselines
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- Is this code an official implementation to the method in paper "Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks"?
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