As far as I observed, the examples on DGL document is all about:
Taking a graph, and update a node feature within a graph through iteration.
However, what I want to do is as below.
I have look-up table (of NLP) and use the embeddings corresponding to the node as features.
However, as there are a lot of sentences, I am not supposing making ‘one’ graph, but a lot of ‘graphs’.
Is it okay to declare a node feature to each graph per every epoch after I get embedding from Look-up table?
I need to update the embedding of the look-up table, but I should re-initialize the node feature per every step. I am using GAT, and I have such a low performance on accuracy that I doubt the justifiability of using DGL library.
I need help!!