OGC and GGCM - PyTorch Implementation

This repository contains the original PyTorch implementation of OGC and GGCM for semi-supervised node classification [1].

❗ News

PyG Implementation:

• OGC (official repository): pytorch_geometric/examples/ogc.py
• GGCM: pytorch_geometric/examples/ggcm.py

DGL Implementation:

• OGC (official repository): dgl/examples/pytorch/ogc
• GGCM: dgl/examples/pytorch/ggcm

rLLM Implementation:

• OGC (official repository): rllm/examples/ogc.py

Original Codes

Running OGC:

python main_ogc.py --dataset cora 
python main_ogc.py --dataset citeseer 
python main_ogc.py --dataset pubmed 

Running GGCM:

python main_ggcm.py --dataset cora
python main_ggcm.py --dataset citeseer
python main_ggcm.py --dataset pubmed

References

[1] Wang, Zheng, Hongming Ding, Li Pan, Jianhua Li, Zhiguo Gong, and Philip S. Yu. "From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning Revisited." arXiv preprint arXiv:2309.13599 (2023).