Sandy4321
Sandy4321
> Hi, just wanted to follow up on this. Do you have any questions that we can answer? > > I think there have been many attempts at Transformers for...
as I wrote above 2 weeks ago "main question is about accuracy" may you explain your statement that transformers performance are bad per your video https://youtu.be/r43JnfHrmJk?t=913 from one hand you...
X_train_vectorised y_train ['0\n', '1\n', '0\n', '1\n', '1\n'] same error for reformating y_train = [int(x) for x in y_train]
by the way is it possible to predict with probability like scikit learn https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html predict_proba(X) Probability estimates. 
rag is retrieval ?
but this paper is not about nanograph, but about Microsoft graphrag. Microsoft graphrag is really bad, it is why people looking for new approaches like lightgraph. It is why your...
but you use grpg neural network to get nodes embeddings. But it is slow and embeddings are bad? did you try other approaches to find nodes similarities ?
pls do it link https://bigartm.readthedocs.io/en/master/download.html Download latest binary distribution of BigARTM from https://github.com/bigartm/bigartm/releases. is broken