GINN
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Graph Imputation Neural Network
Hi,I want to know the result of mae and rsme after new dataset was added to the test. In utils.py you define a function named imputation_accuracy but you don‘t use...
GINN is running on cpu --------------------------------------------------------------------------- DGLError Traceback (most recent call last) ~\AppData\Local\Temp/ipykernel_16964/379948764.py in ----> 1 imputer = GINN(oh_x_tr, 2 oh_mask_tr, 3 oh_num_mask_tr, 4 oh_cat_mask_tr, 5 oh_cat_cols, ~\Miniconda3\lib\site-packages\ginn\core.py in __init__(self,...
I have a question. Can I use that algorithm for time series data?
Hi, I am trying to run the code on a large dataset, however I face a memory issue when generating the similarity matrix. Since the algorithme create a graph node...
I run code in examples so I think GINN imputed value not missing (Nan value). Can you explain problems to me?
Hi Indro, Does input X in [degrade_dataset(...)](https://github.com/spindro/GINN/blob/master/ginn/utils.py#L73) possibly have nan (missing values, I mean the raw data has intrinsic missing values)? If so, why `mask_1d = np.ones(n)` rather than `mask_1d...
Hi~ I meet a question RuntimeError: The size of tensor a (212) must match the size of tensor b (0) at non-singleton dimension 0,when I try to run code imputer.fit()...