parklize / kgc-rec Goto Github PK

Hello, your data set is downloaded by git lfs, and the data is a little big. Could you please provide the data that can be downloaded directly? Thank you very much.

Hello,Sorry to bother you.I want to further understand this paper.If possible,could you please provide the code for data preprocessing.I will appreciate it very much if you give me your code.

WARNING:tensorflow:From D:\anacoda\envs\pytorch\lib\site-packages\tensorflow\python\util\dispatch.py:201: calling dropout (from tensorflow.python.ops.nn_ops) with keep_prob is deprecated and will be removed in a future version.
Instructions for updating:
Please use rate instead of keep_prob. Rate should be set to rate = 1 - keep_prob.
Traceback (most recent call last):
File "D:\anacoda\envs\pytorch\lib\site-packages\tensorflow\python\framework\tensor_util.py", line 549, in make_tensor_proto
str_values = [compat.as_bytes(x) for x in proto_values]
File "D:\anacoda\envs\pytorch\lib\site-packages\tensorflow\python\framework\tensor_util.py", line 549, in
str_values = [compat.as_bytes(x) for x in proto_values]
File "D:\anacoda\envs\pytorch\lib\site-packages\tensorflow\python\util\compat.py", line 86, in as_bytes
raise TypeError('Expected binary or unicode string, got %r' %
TypeError: Expected binary or unicode string, got None

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "E:/kgc-rec-main/kgc-rec-main/m_train.py", line 77, in
model = MOOCUM(placeholders,
File "E:\kgc-rec-main\kgc-rec-main\m_models.py", line 173, in init
self.userModel = GCN(placeholders=self.placeholders, input_dim=input_dim_user, tag='user', length=user_dim,
File "E:\kgc-rec-main\kgc-rec-main\m_models.py", line 95, in init
self.build()
File "E:\kgc-rec-main\kgc-rec-main\m_models.py", line 49, in build
hidden = self.layersi
File "E:\kgc-rec-main\kgc-rec-main\m_layers.py", line 415, in call
w_omega = tf.get_variable(initializer=tf.random_normal([hidden_size, self.attention_size], stddev=0.1),
File "D:\anacoda\envs\pytorch\lib\site-packages\tensorflow\python\util\dispatch.py", line 201, in wrapper
return target(*args, **kwargs)
File "D:\anacoda\envs\pytorch\lib\site-packages\tensorflow\python\ops\random_ops.py", line 90, in random_normal
shape_tensor = tensor_util.shape_tensor(shape)
File "D:\anacoda\envs\pytorch\lib\site-packages\tensorflow\python\framework\tensor_util.py", line 1035, in shape_tensor
return ops.convert_to_tensor(shape, dtype=dtype, name="shape")
File "D:\anacoda\envs\pytorch\lib\site-packages\tensorflow\python\profiler\trace.py", line 163, in wrapped
return func(*args, **kwargs)
File "D:\anacoda\envs\pytorch\lib\site-packages\tensorflow\python\framework\ops.py", line 1540, in convert_to_tensor
ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
File "D:\anacoda\envs\pytorch\lib\site-packages\tensorflow\python\framework\constant_op.py", line 339, in _constant_tensor_conversion_function
return constant(v, dtype=dtype, name=name)
File "D:\anacoda\envs\pytorch\lib\site-packages\tensorflow\python\framework\constant_op.py", line 264, in constant
return _constant_impl(value, dtype, shape, name, verify_shape=False,
File "D:\anacoda\envs\pytorch\lib\site-packages\tensorflow\python\framework\constant_op.py", line 281, in _constant_impl
tensor_util.make_tensor_proto(
File "D:\anacoda\envs\pytorch\lib\site-packages\tensorflow\python\framework\tensor_util.py", line 551, in make_tensor_proto
raise TypeError("Failed to convert object of type %s to Tensor. "
TypeError: Failed to convert object of type <class 'tuple'> to Tensor. Contents: (None, 32). Consider casting elements to a supported type.