barakeelfanseukamhoua/grace

GRAC extension (Accepted at TKDD2022)

GRACE

GRAC extension (Accepted at TKDD2022)

Instructions

Unzip all files in data

Run

python GRACE.py --kwargs

Rum Examples

1. python GRACE.py --graph_type 'Hypergraph' --dataset cora --data_type cocitation --tol 0.1 --normalize l2 --alpha 0.5 --num_runs 2

2. python GRACE.py --graph_type 'Hypergraph' --dataset dblp --data_type coauthorship --tol 0.5 --normalize None --alpha 0.5 --num_runs 2

3. python GRACE.py --graph_type 'Hypergraph' --dataset cora --data_type coauthorship --tol 0.12 --normalize l2 --alpha 0.5 --num_runs 2

4. python GRACE.py --graph_type 'Hypergraph' --dataset pubmed --data_type cocitation --tol 0.1 --normalize l2 --alpha 0.5 --num_runs 2

5. python GRACE.py --graph_type 'Hypergraph' --dataset citeseer --data_type cocitation --tol 0.1 --normalize None --alpha 0.5 --num_runs 2

6. python GRACE.py --graph_type 'Undirected' --dataset citeseer --data_type cocitation --tol 0.15 --normalize None --alpha 0.2 --num_runs 2

7. python GRACE.py --graph_type 'Undirected' --dataset wiki --data_type cocitation --tol 0.15 --normalize l1 --alpha 0.2 --num_runs 2

8. python GRACE.py --graph_type 'Undirected' --dataset cora --data_type cocitation --tol 0.15 --normalize l2 --alpha 0.2 --num_runs 2

9. python GRACE.py --graph_type 'Undirected' --dataset pubmed --data_type cocitation --tol 0.0 --normalize l1 --alpha 0.5 --num_runs 2

10. python GRACE.py --graph_type 'Directed' --dataset cora_ml --data_type cocitation --tol 0.0 --normalize None --alpha 0.1 --num_runs 2

11. python GRACE.py --graph_type 'Directed' --dataset citeseer --data_type cocitation --tol 0.15 --normalize None --alpha 0.5 --num_runs 2

12. python GRACE.py --graph_type 'Heterogeneous' --dataset acm --data_type cocitation --tol 0.0 --normalize l2 --beta 0.7 0.3 --alpha 0.1 --num_runs 2

13. python GRACE.py --graph_type 'Heterogeneous' --dataset dblp --data_type cocitation --tol 0.0 --normalize l2 --beta 0.3 0.3 0.3 --alpha 0.1 --num_runs 2

14. python GRACE.py --graph_type 'Heterogeneous' --dataset imdb --data_type cocitation --tol 0.0 --normalize l2 --beta 0.5 0.5 --alpha 0.1 --num_runs 2

Please cite our work

@article{10.1145/3544977, author = {Kamhoua, Barakeel Fanseu and Zhang, Lin and Ma, Kaili and Cheng, James and Li, Bo and Han, Bo}, title = {GRACE: A General Graph Convolution Framework for Attributed Graph Clustering}, year = {2022}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, issn = {1556-4681}, url = {https://doi.org/10.1145/3544977}, doi = {10.1145/3544977}, note = {Just Accepted}, journal = {ACM Trans. Knowl. Discov. Data}, month = {jun}, keywords = {Attributed graph clustering; Graph convolution} }