Comments (2)
Thanks for catching this. kegra currently only supports keras 1.x versions (1.0.9 or higher). keras 2.0 introduced some breaking changes to the API, such as renaming initialisations
to initializers
. I will push an update for keras 2.x support in the near future. For now, I recommend using keras 1.x for this project.
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Fixed with #10
from keras-gcn.
Related Issues (20)
- name 'Y' is not defined
- multiple-graph HOT 2
- Model Fails when we change batch size HOT 4
- some problem need help HOT 1
- Face TypeError during load data HOT 2
- Cannot use GPU when output.shape[1] * nnz(a) > 2^31 HOT 10
- how to install it? No module named 'kegra'
- ValueError: setting an array element with a sequence. HOT 8
- I have multiple graph instance but they have different number of nodes.
- Using a `tf.Tensor` as a Python `bool` is not allowed in Graph execution HOT 3
- GCN apply for my own dataset but training_acc is low HOT 4
- TypeError: Using a `tf.Tensor` as a Python `bool` is not allowed. HOT 5
- Got error when fitting
- Got error when fitting
- Got error when using theano
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- Low accuracy about Cora dataset
- Can i use GCN for Information Extraction from a document?
- ValueError: Only provide the `shape` OR `batch_input_shape` argument to Input, not both at the same time. HOT 4
- Why does it increased in dimension after every layer?
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