# Paper Reading: Bilinear Graph Neural Network with Neighbor Interactions

venue: IJCAI 2020 If the aggregation function of previous GNN layers (e.g. GCN and GAT) is then the paper extends it with a bilinear aggregator: where It sums up the elementwise product of every pair of neighbor nodes of a target node (self-interactions excluded). The experimental results show that BGAT (BGCN) outperforms vanilla GAT(GCN) by 1.5% (1.6%). A linear combination of AGG output and BA … Continue reading Paper Reading: Bilinear Graph Neural Network with Neighbor Interactions