README.md

Implementation of Generalized Structural and Positional Encoding

learn a joint node encoding that preserved both local node structural and global graph structure in Graph Transformer

Install

• The code is run with the dgl library (https://docs.dgl.ai/).
• The code base on the benchmarking graph neural network repo (https://github.com/graphdeeplearning/benchmarking-gnns.git).
• Due to the legacy code of dgl, several code base is run on dgl==0.9.1 and others run on dgl=1.0.0 with or without GPU supports
• Support baseline:
  • Standard GNN models (GCN, GAT):
  • Graph Transformer based models: