Review for NeurIPS paper: Graph Cross Networks with Vertex Infomax Pooling

Additional Feedback: This paper proposes GXN for modeling graph data. Overall, the proposed approach is quite intuitive, and extensive experiment on graph classification and vertex classification proves the effectiveness of the approach. I have the following concerns regarding the paper: 1. The relation to existing graph pooling techniques is not clear. One key component of GXN is vertex informax pooling, which is used to create multi-scale graphs and is thus related to existing graph pooling techniques.