Pascal Frossard, Chenglin Li, Xing Gao
Graph neural networks have emerged as a popular and powerful tool for learning hierarchical representation of graph data. In complement to graph convolution operators, graph pooling is crucial for extracting hierarchical representation of data in graph neu ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021