The Appendix and our Dataset are zipped in this folder.

1. NeuroSchedule_sup.pdf: The Appendix of our paper "NeuroSchedule: A Novel Effective GNN-based Scheduling Method for High-level Synthesis".

2. `*.pkl`: Our scheduling dataset, which includes 50,000 CDFGs.

   * `adj_t_all.pkl`: The adjacency matrix of the generated CDFGs.
   * `node_emb_all.pkl`: The properties of operations in the generated CDFGs.
   * `node_priority_all.pkl`: The priority of operations in the generated CDFGs, which are generated using ILP-based methods.

   We store  the adjacency matrix, the operation properties and the operation priorities in a Python list, and serialize the lists using pickle.

   
