lazishu2000
commented
1 year ago Sorry, it seems that a bug occurred during dataset migration. It is fixed right now, please pull the new version if you want to run this model. Besides, you can not only use --use_bese_config, but also change HGSL's config in openhgnn/config.ini now. Sorry for any trouble we caused you.
🐛 Bug
when i run the suggest command :
this raise an error like:
Traceback (most recent call last): File "main.py", line 21, in
experiment.run()
File "/workspace/OpenHGNN/openhgnn/experiment.py", line 97, in run
flow = build_flow(self.config, trainerflow)
File "/workspace/OpenHGNN/openhgnn/trainerflow/init.py", line 46, in build_flow
return FLOW_REGISTRYflow_name
File "/workspace/OpenHGNN/openhgnn/trainerflow/node_classification.py", line 42, in init
self.model = build_model(self.model).build_model_from_args(self.args, self.hg).to(self.device)
File "/workspace/OpenHGNN/openhgnn/models/HGSL.py", line 106, in build_model_from_args
mp_emb_dim = hg.nodes["paper"].data["pap_m2v_emb"].shape[1]
File "/opt/conda/lib/python3.7/site-packages/dgl/view.py", line 73, in getitem
return self._graph._get_n_repr(self._ntid, self._nodes)[key]
File "/opt/conda/lib/python3.7/site-packages/dgl/frame.py", line 622, in getitem
return self._columns[name].data
KeyError: 'pap_m2v_emb'
it seems like there is no pap_m2v_emb key in paper nodes data， so how to fix it?
more error update: when I just make
mp_emb_dim=0to jump this line, more errors raise, such as nohidden_dim、mini_batch_flag... defined in config, besides, when I successfully run this model, another exception was raised:Do you have an updated version of the model？
Sincere thanks.
To Reproduce
Steps to reproduce the behavior:
1.cd OpenHGNN 2.python main.py -m HGSL -d acm4GTN -t node_classification -g 0 --use_best_config
Expected behavior
Environment