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Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

Results 43 AmpliGraph issues
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Some environments and libraries are now working with tf 2. It is worth to upgrade Ampligraph to run over TF 2.X as described in https://www.tensorflow.org/guide/migrate/migrate_tf2

**Description** Implement *RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space* https://openreview.net/forum?id=HkgEQnRqYQ

enhancement
model

### Description The function generate_candidates(X, strategy='graph_degree', target_rel='y', max_candidates=3) generates different output then shown in the example in the file, which is not correct as it is generating 3x the same...

When training ConvE with early stopping, the following error gets thrown: Traceback (most recent call last): File "ConvE(1-n)_fb15k.py", line 47, in early_stopping_params=early_stopping_params File "/home/ramab/anaconda3/envs/ampligraph/lib/python3.7/site-packages/ampligraph/latent_features/models/ConvE.py", line 753, in fit raise e...

### Description After completion of training ConvKB model i tried to predict the score of the triples using the following lines of code : ``` # predict the score of...

### Description The spelling mistake in `ampligraph/latent_features/models/EmbeddingModel.py` or documentation causes the the strategy of generating corruptions is allways `default`('s,o'). ### Actual Behavior I want to build a `TransE` model, when...

quality & documentation

There is an obvious bug, how can you get the experimental results in your IJCAI paper with this wrong code? def compare_vanilla_focusE_models(dataset, model_name, vanilla_params, focusE_params): if dataset == 'onet20k': X...

I want to continue/resume training a pre-trained model using new triples. We may assume that there are no new entities or relations but new instants. What is the best way...

enhancement

Hi How to train GraphSAGE model for prediction tasks, like **TransE, RotateE, ComplEx models** etc. **For example:** After training GraphSAGE on KG predict **head** or **tail** entities using `query_topn` Thanks

### Description I'm trying to evaluate the recommendation result of a tool. I have trained a model using ampligraph's model, however, the problem appears when I tried to evaluate the...