Source code for KDD2020 "AM-GCN: Adaptive Multi-channel Graph Convolutional Networks"
python main.py -d dataset -l labelrate
e.g.
python main.py -d citeseer -l 20
Please first unzip the data folders and then use. The files in folders are as follows:
citeseer/
├─citeseer.edge: edge file.
├─citeseer.feature: feature file.
├─citeseer.label: label file.
├─testL/C.txt: test file. L/C, i.e., Label pre Class, L/C = 20, 40, 60.
├─trainL/C.txt: train file. L/C, i.e., Label pre Class, L/C = 20, 40, 60.
└─knn
└─ck.txt: feature graph file. k = 2~9
Recorded in ./AMGCN/config/[L/C][dataset].ini
e.g. ./AMGCN/config/20citeseer.ini
@inproceedings{wang2020gcn,
title={AM-GCN: Adaptive Multi-channel Graph Convolutional Networks},
author={Wang, Xiao and Zhu, Meiqi and Bo, Deyu and Cui, Peng and Shi, Chuan and Pei, Jian},
booktitle={Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery \& Data Mining},
pages={1243--1253},
year={2020}
}