Web: http://arxiv.org/abs/2209.07817

Sept. 19, 2022, 1:11 a.m. | Sangseon Lee, Dohoon Lee, Yinhua Piao, Sun Kim

cs.LG updates on arXiv.org arxiv.org

While graph neural networks (GNNs) have been successful for node
classification tasks and link prediction tasks in graph, learning graph-level
representations still remains a challenge. For the graph-level representation,
it is important to learn both representation of neighboring nodes, i.e.,
aggregation, and graph structural information. A number of graph pooling
methods have been developed for this goal. However, most of the existing
pooling methods utilize k-hop neighborhood without considering explicit
structural information in a graph. In this paper, we propose …

arxiv graph pooling

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