Research Article

Node Importance Estimation with Multiview Contrastive Representation Learning

Figure 3

The results of employing two encoders for contrastive learning versus using just one encoder. MCRL-gcn: the model only uses GCN as the encoder. MCRL-gat: the model only uses GAT as the encoder. MCRL: our proposed model, which uses two encoders and employs contrastive learning.