Support for PyG later than 2.0.2

[HaniItani]

Hello,

Any plans for supporting later releases of PyG (e.g. 2.1)? It's a fairly new benchmark and it's not compatible with the newest PyG releases out of the box.

Best regards,
Hani

[rampasek]

Hi,

You can also access it in GraphGPS that has been updated to PyG 2.0.4 compatibility:
https://github.com/rampasek/GraphGPS

I will refactor GraphGPS to PyG 2.1 in the future. However the dataset loaders themselves should be perfectly functional in your PyG 2.1 codebase as they are.

Best,
Ladislav

[GARV-k]

I am also using PyG >2.1 and in the main.py file, I just imported the OptimConfig and SchedulerConfig from torch_geometric.graphgym.optim.
it gives a error :
Traceback (most recent call last):
File "/home/iplab/garv_iit-bhu/GraphTransformer/lrgb/main.py", line 178, in
optimizer = create_optimizer(model.parameters(),
File "/home/iplab/anaconda3/envs/lrgb/lib/python3.9/site-packages/torch_geometric/graphgym/optim.py", line 38, in create_optimizer
return from_config(func)(params, cfg=cfg)
File "/home/iplab/anaconda3/envs/lrgb/lib/python3.9/site-packages/torch_geometric/graphgym/config.py", line 578, in wrapper
raise ValueError(f"'cfg.{arg_name}' undefined")
ValueError: 'cfg.optimizer_config' undefined