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[WWW 2022] The source code of "Evidence-aware Fake News Detection with Graph Neural Networks"

License: MIT License

Python 99.84% Shell 0.16%
evidence-based-fake-news-detection fake-news-detection graph-structure-learning semantic-learning

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get's Issues

claim_source

In your code, there's a 'claim_source' field for the Snopes dataset. However, I couldn't find this field in the dataset you provided. Could you please clarify this discrepancy?

How to construct a graph

Hello, in your repository, I can't find a way to build a graph, please help me point out the way to build a graph, I want to use this as the beginning of my learning, I would be grateful and look forward to your reply.

id_left、id_right

Hello! In your code, the dataset seems to have id_left and id_right fields, but in the dataset you gave, this field does not appear. Can you please explain the difference? How should I get the id_left and id_right fields?

about code

Hello! I want to ask you something about your code, "assert len(test_interactions.dict_claims_and_evidences_test) in KeyWordSettings.ClaimCountTest" and " assert len(val_interactions.dict_claims_and_evidences_test) in KeyWordSettings.ClaimCountVal"in char_man_fitter_query_repr1.py, What's them mean? Looking for your reply, thx.

Amount of evidence

Hello, I would like to ask if each claim in your experiments corresponds to 30 pieces of evidence?

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