### Install Dependencies

Source: https://github.com/gusye1234/lightgcn-pytorch/blob/master/README.md

Install the required Python packages using pip.

```shell
pip install -r requirements.txt
```

--------------------------------

### LightGCN Training Log Output Example

Source: https://github.com/gusye1234/lightgcn-pytorch/blob/master/README.md

Example log output during LightGCN training, showing epoch progress, BPR sample time, average loss, and test results. This output can be used to verify training consistency.

```shell
...
======================
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
...
```

--------------------------------

### Run LightGCN on Gowalla Dataset

Source: https://github.com/gusye1234/lightgcn-pytorch/blob/master/README.md

Command to execute the LightGCN model on the Gowalla dataset with specified hyperparameters. Ensure you are in the 'code' directory.

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

--------------------------------

### Implement Custom DataLoader

Source: https://github.com/gusye1234/lightgcn-pytorch/blob/master/README.md

To use your own dataset, implement a dataloader inheriting from BasicDataset in dataloader.py and register it in register.py.

```python
# In dataloader.py
# class YourDataset(BasicDataset):
#     ...
# In register.py
# register_dataset(YourDataset)
```

--------------------------------

### Implement Custom Model

Source: https://github.com/gusye1234/lightgcn-pytorch/blob/master/README.md

To use your own models, implement a model inheriting from BasicModel in model.py and register it in register.py.

```python
# In model.py
# class YourModel(BasicModel):
#     ...
# In register.py
# register_model(YourModel)
```

--------------------------------

### Implement Custom Sampling Method

Source: https://github.com/gusye1234/lightgcn-pytorch/blob/master/README.md

To use your own sampling methods, implement a function in Procedure.py and modify the corresponding code in main.py.

```python
# In Procedure.py
# def your_sampling_method(...):
#     ...
# In main.py
# Modify the sampling part to use your_sampling_method
```

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