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small benchmark script  
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# @package _group_
name: GCN
norm: true
loop: false
params:

  Cora:
    architecture:
      num_layers: 2
      hidden_channels: 16
      dropout: 0.5
    num_parts: 40
    batch_size: 10
    num_workers: 0
    lr: 0.01
    reg_weight_decay: 5e-4
    nonreg_weight_decay: 0
    grad_norm: 1.0
    epochs: 200
    runs: 20

  CiteSeer:
    architecture:
      num_layers: 2
      hidden_channels: 16
      dropout: 0.5
    num_parts: 24
    batch_size: 8
    num_workers: 0
    lr: 0.01
    reg_weight_decay: 5e-4
    nonreg_weight_decay: 0
    grad_norm: null
    epochs: 200
    runs: 20

  PubMed:
    architecture:
      num_layers: 2
      hidden_channels: 16
      dropout: 0.5
    num_parts: 8
    batch_size: 4
    num_workers: 0
    lr: 0.01
    reg_weight_decay: 5e-4
    nonreg_weight_decay: 0
    grad_norm: 1.0
    epochs: 200
    runs: 20

  CoauthorCS:
    architecture:
      num_layers: 2
      hidden_channels: 64
      dropout: 0.5
    num_parts: 2
    batch_size: 1
    num_workers: 0
    lr: 0.01
    reg_weight_decay: 0.001
    nonreg_weight_decay: 0
    grad_norm: 1.0
    epochs: 200
    runs: 20

  CoauthorPhysics:
    architecture:
      num_layers: 2
      hidden_channels: 64
      dropout: 0.5
    num_parts: 4
    batch_size: 2
    num_workers: 0
    lr: 0.01
    reg_weight_decay: 0.001
    nonreg_weight_decay: 0
    grad_norm: null
    epochs: 200
    runs: 20

  AmazonComputers:
    architecture:
      num_layers: 2
      hidden_channels: 64
      dropout: 0.5
    num_parts: 32
    batch_size: 16
    num_workers: 0
    lr: 0.01
    reg_weight_decay: 0.001
    nonreg_weight_decay: 0
    grad_norm: 1.0
    epochs: 200
    runs: 20

  AmazonPhoto:
    architecture:
      num_layers: 2
      hidden_channels: 64
      dropout: 0.5
    num_parts: 32
    batch_size: 16
    num_workers: 0
    lr: 0.01
    reg_weight_decay: 0.001
    nonreg_weight_decay: 0
    grad_norm: null
    epochs: 200
    runs: 20

  WikiCS:
    architecture:
      num_layers: 2
      hidden_channels: 33
      dropout: 0.25
    num_parts: 32
    batch_size: 16
    num_workers: 0
    lr: 0.02
    reg_weight_decay: 5e-4
    nonreg_weight_decay: 0
    grad_norm: 1.0
    epochs: 200
    runs: 20