2020-09:

• Change the print format of each epoch
• Add Cpp Extension in code/sources/ for negative sampling. To use the extension, please install pybind11 and cppimport under your environment

This is the Pytorch implementation for our SIGIR 2020 paper:

SIGIR 2020. Xiangnan He, Kuan Deng ,Xiang Wang, Yan Li, Yongdong Zhang, Meng Wang(2020). LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation, Paper in arXiv.

Author: Prof. Xiangnan He (staff.ustc.edu.cn/~hexn/)

(Also see Tensorflow implementation)

In this work, we aim to simplify the design of GCN to make it more concise and appropriate for recommendation. We propose a new model named LightGCN,including only the most essential component in GCN—neighborhood aggregation—for collaborative filtering

pip install -r requirements.txt

We provide three processed datasets: Gowalla, Yelp2018 and Amazon-book and one small dataset LastFM.

see more in dataloader.py

run LightGCN on Gowalla dataset:

• change base directory

Change ROOT_PATH in code/world.py

• command

cd code && python main.py --decay=1e-4 --lr=0.001 --layer=3 --seed=2020 --dataset="gowalla" --topks="[20]" --recdim=64

• log output

...
======================
EPOCH[5/1000]
BPR[sample time][16.2=15.84 0.42]
[saved][[BPR[aver loss1.128e-01]]
[0;30;43m[TEST][0m
{'precision': array([0.03315359]), 'recall': array([0.10711388]), 'ndcg': array([0.08940792])}
[TOTAL TIME] 35.9975962638855
...
======================
EPOCH[116/1000]
BPR[sample time][16.9=16.60 0.45]
[saved][[BPR[aver loss2.056e-02]]
[TOTAL TIME] 30.99874997138977
...

NOTE:

1. Even though we offer the code to split user-item matrix for matrix multiplication, we strongly suggest you don't enable it since it will extremely slow down the training speed.
2. If you feel the test process is slow, try to increase the testbatch and enable multicore(Windows system may encounter problems with multicore option enabled)
3. Use tensorboard option, it's good.
4. Since we fix the seed(--seed=2020 ) of numpy and torch in the beginning, if you run the command as we do above, you should have the exact output log despite the running time (check your output of epoch 5 and epoch 116).

• If you want to run lightGCN on your own dataset, you should go to dataloader.py, and implement a dataloader inherited from BasicDataset. Then register it in register.py.
• If you want to run your own models on the datasets we offer, you should go to model.py, and implement a model inherited from BasicModel. Then register it in register.py.
• If you want to run your own sampling methods on the datasets and models we offer, you should go to Procedure.py, and implement a function. Then modify the corresponding code in main.py

all metrics is under top-20

pytorch version results (stop at 1000 epochs):

(for seed=2020)

• gowalla:

• yelp2018