AHCKA_Analysis

Link to the paper

CITATIONS:

@article{LiYS23,
  author       = {Yiran Li and
                  Renchi Yang and
                  Jieming Shi},
  title        = {Efficient and Effective Attributed Hypergraph Clustering via K-Nearest
                  Neighbor Augmentation},
  journal      = {Proc. {ACM} Manag. Data},
  volume       = {1},
  number       = {2},
  pages        = {116:1--116:23},
  year         = {2023}
}

HNCUT Commands:

For converting the dataset to HNCut Compatible dataset, use the below command:

python convert_to_hncut.py --input_root data --output_root hncut_data --subdir npz/20news

To run the Hncut on the converted dataset, use the below command:

python hncut.py --data hncut_data --dataset npz/20news

AHCKA Commands:

To run AHCKA on the dataset, use the below command:

python ahcka.py --data coauthorship --dataset cora

Sensitivity of AHCKA:

python AHCKA.py --data coauthorship --dataset dblp --sensitivity