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The official implementation of "DGCN: Diversified Recommendation with Graph Convolutional Networks" (WWW '21)

License: MIT License

Python 100.00%

graph-neural-networks recommender-system recommendation diversity diversification

dgcn's Introduction

DGCN

This is the official implementation of our WWW'21 paper:

Yu Zheng, Chen Gao, Liang Chen, Depeng Jin, Yong Li, DGCN: Diversified Recommendation with Graph Convolutional Networks, In Proceedings of the Web Conference 2021.

First unzip the datasets and start the visdom server:

visdom -port 33333

Then simply run the following command to reproduce the experiments on corresponding dataset and model:

python app.py --flagfile ./config/xxx.cfg

If you use our codes and datasets in your research, please cite:

@inproceedings{zheng2021dgcn,
  title={DGCN: Diversified Recommendation with Graph Convolutional Networks},
  author={Zheng, Yu and Gao, Chen and Chen, Liang and Jin, Depeng and Li, Yong},
  booktitle={Proceedings of the Web Conference 2021},
  pages={401--412},
  year={2021}
}

dgcn's People

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mojinyu123 trhflybingo bowendoctor1616 sdfsfdx zoeson zsjie99 ahwhbc domagic runzeliuzh

dgcn's Issues

Data processing

Hi,
In order to use this model on custom data set, do you have set/list of scripts to preprocess the data ?

dataset

What's the use of 'train_coo_edge_sim.npz','train_coo_adj_graph.npz','popularity.npy' in taobao datasets?

Can you provide code of the module "data_process_service"

Hi:
In Taobao dataset folder, I notice there are missing the code implementation about "data_process_service". Since, I want to use my own datasets, can you provide the implementation of the code module?
Looking forward to your reply!

Baseline

请问baseline的相关参考代码可以提供一下吗
？

Preprocessed Beibei Dataset

Hi. Great work. I am wondering if you can provide the preprocessed Beibei Dataset for future research. Many thanks in advance.

Generate recommendations

How to get predictions from model for test data?

Taobao数据集使用

hello~首先感谢开源优秀的工作！
想确认下data/taobao.zip是否就是开箱即用的数据结果呢？我理解taobao.zip解压出来的XX.npz文件应该等于原始UserBehavior.csv被taobao.py处理后的结果吧

Running Issues

Hi. I got this issue when I run the code.
"Please turn it into an immutable graph with DGLGraphStale.readonly"
AssertionError: NeighborSampler doesn't support mutable graphs. Please turn it into an immutable graph with DGLGraphStale.readonly

Seems it got the error at File "recommender.py", line 161, in inference
data_flows, node_index, user_index, item_index = self.gm.point_sample_neighbors(user, item).

Do you have ideas? BTW, could you also please provide the version of the DGL and pytorch? Mant thanks

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