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GT-SNT

Environments

  • torch == 2.2.1+cu121
  • torch-cluster == 1.6.3
  • spikingjelly == 0.0.0.0.14
  • torch_geometric == 2.5.1
  • torch-scatter == 2.1.2
  • torch-sparse == 0.6.18
  • CUDA 12.1
  • cuDNN 8.9.0

Reproduction

Run experiments using node_cls.py/node_cls_subgraph.py. Configurations are specified in config.

  • Cora
python node_cls.py --config_dir "./config/cora.yaml"
  • Citeseer
python node_cls.py --config_dir "./config/citeseer.yaml"
  • Pubmed
python node_cls.py --config_dir "./config/pubmed.yaml"
  • CS
python node_cls.py --config_dir "./config/cs.yaml"
  • Physics
python node_cls.py --config_dir "./config/physics.yaml"
  • ogbn-arxiv
python node_cls.py --config_dir "./config/ogbn-arxiv.yaml"
  • ogbn-products
python node_cls_subgraph.py --config_dir "./config/ogbn-products.yaml"

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A Linear-Time Transformer for Large-Scale Graphs via Spiking Node Tokenization

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