These clusters are employed to create multi-relation graphs which are then propagated to an LSTM-based graph network to forecast future prices at the node level. The proposed approach can anticipate ...

Advancement in Graph Neural Networks for EEG Signal Analysis and Application: A Review Abstract: Electroencephalography (EEG) can non-invasively measure neuronal events and reflect brain activity at ...