| # Gowalla_m1 | |
| + **Dataset description:** | |
| The dataset statistics are summarized as follows: | |
| | Dataset ID | #Users | #Items | #Interactions | #Train | #Test | Density | | |
| |:--------------:|:------:|:------:|:-------------:|:---------:|:-------:|:-------:| | |
| | Gowalla_m1 | 29,858 | 40,981 | 1,027,370 | 810,128 | 217,242 | 0.00084 | | |
| + **Source:** https://snap.stanford.edu/data/loc-gowalla.html | |
| + **Download:** https://huggingface.co/datasets/reczoo/Gowalla_m1/tree/main | |
| + **RecZoo Datasets:** https://github.com/reczoo/Datasets | |
| + **Used by papers:** | |
| - Xiangnan He, Kuan Deng, Xiang Wang, Yan Li, Yongdong Zhang, Meng Wang. [LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation](https://arxiv.org/abs/2002.02126). In SIGIR 2020. | |
| - Kelong Mao, Jieming Zhu, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi Xiao, Xiuqiang He. [SimpleX: A Simple and Strong Baseline for Collaborative Filtering](https://arxiv.org/abs/2109.12613). In CIKM 2021. | |
| - Kelong Mao, Jieming Zhu, Xi Xiao, Biao Lu, Zhaowei Wang, Xiuqiang He. [UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation](https://arxiv.org/abs/2110.15114). In CIKM 2021. | |
| + **Check the md5sum for data integrity:** | |
| ```bash | |
| $ md5sum *.txt | |
| 13b1c0d75b07b8cea9413f40042f476f item_list.txt | |
| c04e2c4bcd2389f53ed8281816166149 test.txt | |
| 5eec1eb2edb8dd648377d348b8e136cf train.txt | |
| f83ec6f2cd974ba6470e8808830cc144 user_list.txt | |
| ``` | |