We employ a multi-layer graph attention network to propagate sentiment features from important syntax neighbourhood words to the aspect target.
the basic idea is that at layer 0 the hidden state for an aspect target node h t 0 is only dependent on the target's local features and at each layer l information related with the target from l-hop neighbourhood is added into the hidden state by the LStM unit.