Review for NeurIPS paper: Generative 3D Part Assembly via Dynamic Graph Learning

Weaknesses: My biggest concern is the part aggregation module: - I'm not sure if max-pooling is the best way to aggregate the node attributes among the parts into a single node. If we want to captuer the commonalities between different nodes, wouldn't average pooling be more appropriate? Some comparison is probably needed. For example, seat is strongly related to back while back is least related to seat; arm is most related to leg but leg is hardly related to arm. Second, why is leg most related to leg, given that they are not connected?