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
Hi all. I am working with graph neural network and I want to apply T-GCN and GConvGRU on my dataset but I don't understand what is the difference between them. What I find on the net is:
T-GCN: Combines GCN with GRUs to capture spatial and temporal dependencies.
GConvGRU & GConvLSTM: Integrate GRU and LSTM units within GNNs to dynamically control memory and state updates.
Still I don't understand if they are really different or not. I appreciate if anyone clarify it for me. Thanks.
reacted with thumbs up emoji reacted with thumbs down emoji reacted with laugh emoji reacted with hooray emoji reacted with confused emoji reacted with heart emoji reacted with rocket emoji reacted with eyes emoji
Uh oh!
There was an error while loading. Please reload this page.
-
Hi all. I am working with graph neural network and I want to apply T-GCN and GConvGRU on my dataset but I don't understand what is the difference between them. What I find on the net is:
T-GCN: Combines GCN with GRUs to capture spatial and temporal dependencies.
GConvGRU & GConvLSTM: Integrate GRU and LSTM units within GNNs to dynamically control memory and state updates.
Still I don't understand if they are really different or not. I appreciate if anyone clarify it for me. Thanks.
Beta Was this translation helpful? Give feedback.
All reactions