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PCQM4Mv2 cfg to run pretrained GPS model (#11)
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rampasek committed Sep 5, 2022
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34 changes: 34 additions & 0 deletions configs/GPS/pcqm4m-GPS-inference.yaml
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out_dir: results
metric_best: mae
metric_agg: argmin
wandb:
use: False
project: scratch # W&B project for debugging runs.
dataset:
format: OGB
name: PCQM4Mv2-full
task: graph
task_type: regression
transductive: False
node_encoder: True
node_encoder_name: Atom+RWSE
node_encoder_bn: False
edge_encoder: True
edge_encoder_name: Bond
edge_encoder_bn: False
pretrained:
dir: pretrained/pcqm4m-GPS+RWSE.medium
reset_prediction_head: False
train:
mode: inference-only
batch_size: 256
model:
type: GPSModel
loss_fun: l1
graph_pooling: mean
gnn:
head: san_graph
layers_post_mp: 3 # Not used when `gnn.head: san_graph`
batchnorm: True
act: relu
dropout: 0.0

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