Figure 1From: Modeling teams performance using deep representational learning on graphsMENTOR. The architecture of our model is based on the usage of three channels: topology (T), centrality (C), and contextual (L). Each channel returns a corresponding embedding vector for each subgraph \(S_{i}\). The outputs of the three channels are then merged by means of an attention mechanism that estimates the importance of a specific effectBack to article page