Graph Few-Shot Class-Incremental Learning via Prototype Representation
- pytorch >= 1.8.1
- numpy >= 1.21.3
- scikit-learn >= 0.24.2
- pytorch geometric >= 2.0.2
- pyaml
- tensorboardX
- tqdm
python main.py --config_filename='config/config_cora_stream.yaml' --iteration 10
If you find this repository, e.g., the paper, code and the datasets, useful in your research, please cite the following paper:
@inproceedings{DBLP:conf/kdd/Geometer,
author = {Bin Lu and
Xiaoying Gan and
Lina Yang and
Weinan Zhang and
Luoyi Fu and
Xinbing Wang},
title = {Geometer: Graph Few-Shot Class-Incremental Learning via Prototype Representation},
booktitle = {{KDD} '22: The 28th {ACM} SIGKDD Conference on Knowledge Discovery and Data Mining,
Washington, DC, USA, August 14--18, 2022},
publisher = {{ACM}},
year = {2022}
}