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THGRL

CIKM 2019: Cross-domain Aspect Category Transfer and Detection via Traceable Heterogeneous Graph Representation Learning

Introduction

This is the dataset from the paper "Cross-domain Aspect Category Transfer and Detection via Traceable Heterogeneous Graph Representation Learning". Unfortunately, we are unable to provide source code due to copyright and information security issues.

Download the Datasets

  • You can download Dataset from This Link.
  • Also, there is an another copy on Baidu Network Disk, which will be very friendly to Chinese reseachers:
    link: https://pan.baidu.com/s/1np4HuCAlZFZl0DXHfl_oew
    code: y3ih
    

The Structure of the Folder

THGRL
├── COPYRIGHT
├── data
│   ├── README
│   ├── BAG2CLOTHING
│   │   ├── dict.txt
│   │   ├── graph.txt
│   │   ├── source.idx
│   │   ├── target.idx
│   │   ├── train.txt
│   │   ├── test.txt
│   │   └── emb.txt
│   │── CLOTHING2BAG
│   │   ├── ...
│   │── CLOTHING2SHOES
│   │   ├──...
│   └── SHOES2CLOTHING
│       └── ...
└── README.md

Citation

If you find THGRL useful in your research, please cite the following paper:

Zhuoren Jiang, Jian Wang, Lujun Zhao, Changlong Sun, Yao Lu, and Xiaozhong Liu. 2019. 
Cross-domain Aspect Category Transfer and Detection via Traceable Heterogeneous Graph Representation Learning. 
In Proceedings of the 28th International ACM CIKM Conference On Information and Knowledge Management (CIKM ’19), Nov 03-07, 2019, Beijing, China. 
ACM, New York, NY, USA, 10 pages. https://doi.org/10.1145/3357384.3357989.
@inproceedings{jiang2019cross,
  title={Cross-domain Aspect Category Transfer and Detection via Traceable Heterogeneous Graph Representation Learning},
  author={Zhuoren Jiang, Jian Wang, Lujun Zhao, Changlong Sun, Yao Lu, and Xiaozhong Liu},
  booktitle={The 28th International ACM CIKM Conference on Research and Knowledge Managment},
  pages={635--644},
  year={2019},
  organization={ACM}
}

License

This project is licensed under the license found in the LICENSE file in the root directory of this source tree.

Contact Information

For help or issues using THGRL, please submit a GitHub issue. For other communications related to THGRL, please contact Jian Wang (wangjian.wj@bytedance.com).

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