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This repository contains the code to the paper "MVAE: Multimodal Variational Autoencoder for Fake News Detection"

Python 100.00%

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mvae's Issues

Version problem

As in the requirements.txt, the program need to run in a enivrenment with tensorflow>=1.14.0 and tensorboard>=1.14.0.
But the program requires to from torch.utils.tensorboard import SummaryWriter, which requires tensorboard after 1.15.0.
Maybe we need to check and modify the requirements

missing image_embed.pkl file for Twitter dataset

Hi. Thank you for your great work. I am trying to reproduce the model for Twitter dataset but there is a missing file named "image_embed.pkl". without it, the reproduction wouldn't be ideal. could you please share this file with us?
Thanks

only 0.71 acc on Weibo Dataset

On the Weibo dataset, I only got 71 accuracy socre.
I didn't change your model or training parameters.
Cause I don't have image_embed.pkl and xx_content_segmented.txt, I can only preprocess the data according to my own guess.

Problem in Data set

I am unable to get your dataset used in MVAE model in the correct format that used in your model.
I am also unable to get Weibo Dataset source.
please help me to get the dataset or guide me on how to run your code with Twitter Dataset.

Can not convert a NoneType into a Tensor or Operation.

TypeError Traceback (most recent call last)
in ()
1 if name == 'main':
----> 2 train(47, 4096, 64, 0.05, 0.3, 'models/vae_fnd_0.05_0.3')
3 # test(20, 4096, 64, 0.05, 0.3, 'models/vae_fnd_0.05_0.3')
4 # save_features(20, 4096, 64, 0.05, 0.3, '../models/vae_fnd_0.05_0.3')

21 frames
/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/ops.py in _as_graph_element_locked(self, obj, allow_tensor, allow_operation)
3757 # We give up!
3758 raise TypeError("Can not convert a %s into a %s." %
-> 3759 (type(obj).name, types_str))
3760
3761 def get_operations(self):

TypeError: Can not convert a NoneType into a Tensor or Operation.

Remove VAE

I tried the code in my datasets and the results are worse than that without VAE. Have you tried the model without VAE?

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