'How to concatenate or weighted average knowledge graphs embeddings with Textual embeddings by Keras embedding layers?
I have generated knowledge graph embeddings by RDF2Vec(<s,p,o> RDF triples.ttl file with DBpedia URIs) of size (7536, 384) and I have embeddings for my text dataset generated by Sbert of size(14169,384). Now, how do I concatenate these embeddings using Keras embedding layers? and then model.fit the concatenated embeddings with target label for training the model? Could anyone help?
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