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[TKDE 2021] Source code and datasets for the paper "Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recommendation"

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Hello everyone, Thanks for this good work. I would like to use Xing dataset to run the code, but I can not find it anywhere. May I know if this...

Hello, I'm trying to integrate this algorithm in a evaluation framework of session-aware RS. I need to create a method that, given a user and a session with previous items...

I have ran the "python train_last.py --data=xing --mode=transformer --user_ --adj=adj_all --dataset=all_data --hiddenSize=100“ for many times and evaluation results like Recall@5, Recall@10 can not reach the number mentioned in the paper....

Hi, Can you share how did you conduct the compaed methods, for example, GRU4Rec, we all kown it's for session -based rec, so when used to personalized session-based rec, how...

Hi, can you provide the tf-record data for train/valid/test to reproduce the results? Plus, the valid data/process is not same as your paper claimed, can you explain how to reproduce...