AnchorKG
所属分类：自动编程
开发工具：Python
文件大小：242KB
下载次数：0
上传日期：2021-02-02 06:24:33
上 传 者：
sh-1993
说明： 这是论文的源代码：新闻推荐推理的增强锚知识图生成
(This is the source code for paper: Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning)
文件列表:
base (0, 2021-02-02)
base\__init__.py (0, 2021-02-02)
base\base_data_loader.py (758, 2021-02-02)
base\base_model.py (646, 2021-02-02)
base\base_trainer.py (502, 2021-02-02)
config.yaml (925, 2021-02-02)
data_loader (0, 2021-02-02)
data_loader\__init__.py (0, 2021-02-02)
data_loader\data_loaders.py (2261, 2021-02-02)
framework.png (229683, 2021-02-02)
logger (0, 2021-02-02)
logger\logger.py (1153, 2021-02-02)
logger\logger_config.json (852, 2021-02-02)
main.py (763, 2021-02-02)
model (0, 2021-02-02)
model\AnchorKG.py (17686, 2021-02-02)
model\Reasoner.py (7702, 2021-02-02)
model\Recommender.py (2734, 2021-02-02)
model\__init__.py (0, 2021-02-02)
parse_config.py (6247, 2021-02-02)
requirements.txt (88, 2021-02-02)
train_test.py (3595, 2021-02-02)
trainer (0, 2021-02-02)
trainer\__init__.py (0, 2021-02-02)
trainer\trainer.py (14763, 2021-02-02)
utils (0, 2021-02-02)
utils\__init__.py (0, 2021-02-02)
utils\metrics.py (1773, 2021-02-02)
utils\pytorchtools.py (1780, 2021-02-02)
utils\util.py (12002, 2021-02-02)
# Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning
This repository contains the source code of the paper: Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning
## Dataset:
The original data we used is from the public news dataset : [MIND](https://github.com/anonymwsdm/AnchorKG/blob/master/https://msnews.github.io). We build an item2item dataset based on the method in the paper.
####Files in data folder:
- `./data/`
- `kg/`
- `kg.tsv: ` knowledge graph triples from Wikidata;
- `entity2id.tsv` entity label to index;
- `relation2id.tsv` relation label to index;
- `entity2vec.vec` 100d entity embedding from TransE;
- `relation2vec.vec` 100d relation embedding from TransE;
- `./mind/`
- `doc_embedding.tsv: ` 768d document embedding from sentence-bert;
- `doc_entity.tsv` document \t entities
- `train.tsv` item2item train data
- `val.tsv` item2item val data
- `test.tsv` item2item test data
- `warmup_train.tsv` warm up training data
- `warmup_test.tsv` warm up testing data
## Requeirements:
python = 3.6
Pytorch = 1.4.0
scikit-learn = 0.23.2
numpy = 1.16.2
hnswlib = 0.4.0
networkx = 2.5
## How to run the code:
$ python ./main.py --config config.yaml
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