got this error, please help!

[hellomuse]

Traceback (most recent call last):
File "/Users/linda/mywork/ARGA-master/ARGA/arga/run.py", line 18, in
runner.erun()
File "/Users/linda/mywork/ARGA-master/ARGA/arga/link_prediction.py", line 27, in erun
placeholders = get_placeholder(feas['adj'])
KeyError: 'adj'

[EdisonLeeeee]

Traceback (most recent call last):
File "/Users/linda/mywork/ARGA-master/ARGA/arga/run.py", line 18, in
runner.erun()
File "/Users/linda/mywork/ARGA-master/ARGA/arga/link_prediction.py", line 27, in erun
placeholders = get_placeholder(feas['adj'])
KeyError: 'adj'

I met this problem, too. And I solved it by using python with version 3.7, and I run it successfully now.

Using py37, However, you may need to modify several pieces of code.

[TrabelsiAhmed]

Traceback (most recent call last):
File "/Users/linda/mywork/ARGA-master/ARGA/arga/run.py", line 18, in
runner.erun()
File "/Users/linda/mywork/ARGA-master/ARGA/arga/link_prediction.py", line 27, in erun
placeholders = get_placeholder(feas['adj'])
KeyError: 'adj'

I met this problem, too. And I solved it by using python with version 3.7, and I run it successfully now.

Using py37, However, you may need to modify several pieces of code.

Hello EdisonLeeeee,

I am trying to use the ARGA model with py37 too. So I need to modify the code in order to make it work. I am having some problems with that however. Could you be contact me? I could use your help.

[EdisonLeeeee]

Traceback (most recent call last):
File "/Users/linda/mywork/ARGA-master/ARGA/arga/run.py", line 18, in
runner.erun()
File "/Users/linda/mywork/ARGA-master/ARGA/arga/link_prediction.py", line 27, in erun
placeholders = get_placeholder(feas['adj'])
KeyError: 'adj'

I met this problem, too. And I solved it by using python with version 3.7, and I run it successfully now.
Using py37, However, you may need to modify several pieces of code.

Hello EdisonLeeeee,

I am trying to use the ARGA model with py37 too. So I need to modify the code in order to make it work. I am having some problems with that however. Could you be contact me? I could use your help.

Hi TrabelsiAhmed.

Can I do anything to help?

[TrabelsiAhmed]

Hi,

I am trying to debug the code step by step. Currently I am stuck with something that seems to be easy to solve.

I am getting this error:

Traceback (most recent call last):

File "C:\ARGA\ARGA\arga\run.py", line 18, in
runner.erun()

File "C:\ARGA\ARGA\arga\link_prediction.py", line 25, in erun
feas = format_data(self.data_name)

File "C:\ARGA\ARGA\arga\constructor.py", line 43, in format_data
adj, features, y_test, tx, ty, test_maks, true_labels = load_data(data_name)

File "C:\ARGA\ARGA\arga\input_data.py", line 24, in load_data
objects.append(pkl.load(open("data/ind.{}.{}".format(dataset, names[i])), encoding = 'ansi', errors = 'ignore'))

File "E:\Programme\py\envs\keras-gpu\lib\encodings\cp1252.py", line 23, in decode
return codecs.charmap_decode(input,self.errors,decoding_table)[0]

UnicodeDecodeError: 'charmap' codec can't decode byte 0x81 in position 34: character maps to

I tried to solve it by trying different encodings, by addind errors = 'ignore'. But nothing works.
Can you please tell, what did you do to solve this?

Thank you in advance

[EdisonLeeeee]

well, it is easy to solve this problem.

First I will introduce the solution below:

change the code in input.py, line 23-25:

    for i in range(len(names)):
        objects.append(pkl.load(open("data/ind.{}.{}".format(dataset, names[i]))))

to

    for name in names:
        with open("data/ind.{}.{}".format(dataset, name), 'rb') as f:
            objects.append(pkl.load(f, encoding='latin1'))

It occurs because of the version of pickle. (Not exactly!)

Hope it help for you!

[TrabelsiAhmed]

Yes it worked, thank you so much!

Of course I got another error, i will try to solve it myself.

Is it okey to contact you again if i get in trouble again? xD

[EdisonLeeeee]

Sure, but I'm not sure I'll be able to reply in time. XD

[TrabelsiAhmed]

No problem, only if you have time ofcourse :D

[TrabelsiAhmed]

Hi, I need help again xD

Traceback (most recent call last):

File "C:\ARGA\ARGA\arga\run.py", line 18, in
runner.erun()

File "C:\ARGA\ARGA\arga\link_prediction.py", line 34, in erun
opt = get_optimizer(model_str, ae_model, discriminator, placeholders, feas['pos_weight'], feas['norm'], d_real, feas['num_nodes'])

File "C:\ARGA\ARGA\arga\constructor.py", line 90, in get_optimizer
d_fake=d_fake)

File "C:\ARGA\ARGA\arga\optimizer.py", line 43, in init
beta1=0.9, name='adam2').minimize(self.generator_loss, var_list=en_var)

File "C:\Users\trahm\AppData\Roaming\Python\Python37\site-packages\tensorflow_core\python\training\optimizer.py", line 413, in minimize
name=name)

File "C:\Users\trahm\AppData\Roaming\Python\Python37\site-packages\tensorflow_core\python\training\optimizer.py", line 597, in apply_gradients
self._create_slots(var_list)

File "C:\Users\trahm\AppData\Roaming\Python\Python37\site-packages\tensorflow_core\python\training\adam.py", line 131, in _create_slots
self._zeros_slot(v, "m", self._name)

File "C:\Users\trahm\AppData\Roaming\Python\Python37\site-packages\tensorflow_core\python\training\optimizer.py", line 1156, in _zeros_slot
new_slot_variable = slot_creator.create_zeros_slot(var, op_name)

File "C:\Users\trahm\AppData\Roaming\Python\Python37\site-packages\tensorflow_core\python\training\slot_creator.py", line 190, in create_zeros_slot
colocate_with_primary=colocate_with_primary)

File "C:\Users\trahm\AppData\Roaming\Python\Python37\site-packages\tensorflow_core\python\training\slot_creator.py", line 164, in create_slot_with_initializer
dtype)

File "C:\Users\trahm\AppData\Roaming\Python\Python37\site-packages\tensorflow_core\python\training\slot_creator.py", line 74, in _create_slot_var
validate_shape=validate_shape)

File "C:\Users\trahm\AppData\Roaming\Python\Python37\site-packages\tensorflow_core\python\ops\variable_scope.py", line 1504, in get_variable
aggregation=aggregation)

File "C:\Users\trahm\AppData\Roaming\Python\Python37\site-packages\tensorflow_core\python\ops\variable_scope.py", line 1247, in get_variable
aggregation=aggregation)

File "C:\Users\trahm\AppData\Roaming\Python\Python37\site-packages\tensorflow_core\python\ops\variable_scope.py", line 567, in get_variable
aggregation=aggregation)

File "C:\Users\trahm\AppData\Roaming\Python\Python37\site-packages\tensorflow_core\python\ops\variable_scope.py", line 519, in _true_getter
aggregation=aggregation)

File "C:\Users\trahm\AppData\Roaming\Python\Python37\site-packages\tensorflow_core\python\ops\variable_scope.py", line 886, in _get_single_variable
"reuse=tf.AUTO_REUSE in VarScope?" % name)

ValueError: Variable arga_32/Encoder/e_dense_1_vars/weights/adam2/ does not exist, or was not created with tf.get_variable(). Did you mean to set reuse=tf.AUTO_REUSE in VarScope?

I don't have any idea to solve this :/

[EdisonLeeeee]

I'm not quite sure why this is happening, but I think it may caused by the code in optimizer.py:

self.generator_optimizer = tf.train.AdamOptimizer(learning_rate=FLAGS.discriminator_learning_rate, beta1=0.9, name='adam2').minimize(self.generator_loss, var_list=en_var)

There may have something wrong with that var_list=en_var, the variable of arga_32/Encoder/e_dense_1_vars/weights/adam2/ does not exist and it's really not going to do, maybe you can print it en_var.

BTW, it works well in my environment (py 3.7, tensorflow 1.12.0), MayI ask you that the version of tensorflow?

[TrabelsiAhmed]

I am using tensorflow 2.0.0. Should i downgrade it?

[EdisonLeeeee]

I am using tensorflow 2.0.0. Should i downgrade it?

Yes it must be. Tf2.0 if quite different from the previous version. You can downgrade it to any version except for 2.0 (1.12 1.13 1.14 is availiable).

[TrabelsiAhmed]

I will do it and tell you if it works.
Thank you :D

[EdisonLeeeee]

That's all right. Hope it works (if I'm not mistaken) : )

[TrabelsiAhmed]

It worked !!
Thank you man 💃