Fig 1

A schematic diagram of HI-PPI. <b>a</b> The preprocess of protein data. The heterogeneous GNN encoder \modified{is} adopted to extract the latent representation in contact map of protein structure. <b>b</b> A PPI graph is constructed based on PPI network and extracted feature. The node representation of each protein is updated iteratively by hyperbolic graph convolutional layer. Subsequently, the importance of pairwise information is controlled by a gating mechanism in interaction-specific network. The resulting embedding of PPI is processed to a classifier for prediction.