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573 B
573 B
HGSL
Source code of AAAI submission "Heterogeneous Graph Structure Learning for Graph Neural Networks"
Requirements
Python Packages
- Python >= 3.6.8
- Pytorch >= 1.3.0
GPU Memmory Requirements
- ACM >= 8G
- DBLP >=5G
- Yelp >=3G
Usage
Take DBLP dataset as an example: python train.py --dataset='dblp'
Guide on Generation of Semantic Embeddings
The semantic embeddings, i.e. \mathcal{Z}
in the paper, are generated by metapath2vec algorithm. Users may refer to https://github.com/dmlc/dgl/tree/master/examples/pytorch/metapath2vec for an implementation.