Open mr-carlitos opened 3 months ago
Paper that motivates Manhatten norm: iPool - Information-based Pooling in Hierarchical Graph Neural Networks, https://arxiv.org/pdf/1907.00832
"On Exploring Node-feature and Graph-structure Diversities for Node Drop Graph Pooling" provides a nice overview of node drop pooling models, https://arxiv.org/pdf/2306.12726
This paper uses Euclidean distance iPoolInformation-Based_Pooling_in_Hierarchical_Graph_Neural_Networks.pdf https://ieeexplore.ieee.org/document/9392315
Use a different node information score metric (e.g., instead of using the Manhatten distance, we use the Euclidean distance)