Source code of AAAI submission "Heterogeneous Graph Structure Learning for Graph Neural Networks"
Take DBLP dataset as an example: python train.py --dataset='dblp'
Please kindly note that the data is originally preprocessed by the GTN project (https://github.com/seongjunyun/Graph_Transformer_Networks).
I received quite a lot emails asking me about the dataset. I will not respond to them anymore as I cannot provide the code.
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.