HOG-GCN

Source code for AAAI2022 "[Powerful Graph Convolutioal Networks with Adaptive Propagation Mechanism for Homophily and Heterophily"

Environment Settings

python main_homo.py -dataset cora

dataset: including [Texas, Cornell, Wisconsin, Film, Cora, Citeseer, Pubmed]

If you make advantage of HOG-GCN in your research, please cite the following in your manuscript:

Wang, Tao, et al. "Powerful Graph Convolutioal Networks with Adaptive Propagation Mechanism for Homophily and Heterophily." In AAAI. 2022.

Tianjin University

Name		Name	Last commit message	Last commit date
Latest commit History 7 Commits
__pycache__		__pycache__
config		config
data_geom		data_geom
Powerful_Graph_Convolutioal_Networks_with_Adaptive_Propagation_Mechanism_for_Homophily_and_Heterophily.pdf		Powerful_Graph_Convolutioal_Networks_with_Adaptive_Propagation_Mechanism_for_Homophily_and_Heterophily.pdf
README.md		README.md
__init__.py		__init__.py
config.py		config.py
dataprocess.py		dataprocess.py
layers.py		layers.py
main_homo.py		main_homo.py
models_homo.py		models_homo.py
utils.py		utils.py