You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Could you please explain the use of self.cached in models/GCN.py? If the setting is transductive and the self.cached is set to 'False' manually, will that influence the performance (e.g. ACC) of the algorithm?
The text was updated successfully, but these errors were encountered:
the self.cached prevented the model from recomputing the normalized graph over and over and just memorizing it since the graph is the same in inductive.
Without cached, each run might take longer, but I doubt the ACC will suffer.
Could you please explain the use of self.cached in models/GCN.py? If the setting is transductive and the self.cached is set to 'False' manually, will that influence the performance (e.g. ACC) of the algorithm?
The text was updated successfully, but these errors were encountered: