2022
Structural Landmarking and Interaction Modelling: A “SLIM” Network for Graph Classification
AAAI 2022technical
Graph neural networks are a promising architecture for learning and inference with graph-structured data. Yet, how to generate informative, fixed dimensional features for graphs with varying size and topology can still be challenging. Typically, this is achieved through graph-pooling, which summariz…