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Source code for Self-Guided Learning to Denoise for Robust Recommendation. SIGIR 2022.

Home Page: https://arxiv.org/abs/2204.06832

License: Apache License 2.0

Python 100.00%
deep-learning denoising graph-neural-networks implicit-feedback pytorch recommender-system robust-learning sigir2022

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sgdl's Issues

Inplace operation resulting in the code failing to run

When the code runs to Phase II, an error occurs as follows.
RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation: [torch.cuda.FloatTensor [100, 1]], which is output 0 of TBackward, is at version 2; expected version 1 instead. Hint: enable anomaly detection to find the operation that failed to compute its gradient, with torch.autograd.set_detect_anomaly(True).
Thank you very much!

SGCN

Do you implement the code of SGCN yourself, Could you please offer the code about SGCN?

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