Emgraph
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bi-graph
A Python library for knowledge graph representation learning (graph embedding).
The `datasets` module needs documentation. It is already partially documented; yet, needs to be completed. here is the [datasets module](https://github.com/bi-graph/Emgraph/tree/master/emgraph/datasets)
After migrating to tf2 this method doesn't work https://github.com/bi-graph/Emgraph/blob/3926ad779d888842d47ec6ad4b27afb48620b318/emgraph/models/EmbeddingModel.py#L1927-L2135 https://github.com/bi-graph/Emgraph/blob/master/emgraph/models/EmbeddingModel.py
This method is bound to the _calibrate method working properly. https://github.com/bi-graph/Emgraph/blob/3926ad779d888842d47ec6ad4b27afb48620b318/emgraph/models/EmbeddingModel.py#L2137-L2171
loss_batch isn't computed properly for dealing_with_large_graphs in the` EmbeddingModel.` - [ ] line 1193: `loss_batch = loss` https://github.com/bi-graph/Emgraph/blob/master/emgraph/models/EmbeddingModel.py