Graph pooling for graph neural networks: Progress, challenges, and opportunities

C Liu, Y Zhan, J Wu, C Li, B Du, W Hu, T Liu… - arXiv preprint arXiv …, 2022 - arxiv.org
Graph neural networks have emerged as a leading architecture for many graph-level tasks,
such as graph classification and graph generation. As an essential component of the …

Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities

C Liu, Y Zhan, J Wu, C Li, B Du, W Hu, T Liu… - arXiv e …, 2022 - ui.adsabs.harvard.edu
Graph neural networks have emerged as a leading architecture for many graph-level tasks,
such as graph classification and graph generation. As an essential component of the …

Graph pooling for graph neural networks: progress, challenges, and opportunities

C Liu, Y Zhan, J Wu, C Li, B Du, W Hu, T Liu… - Proceedings of the Thirty …, 2023 - dl.acm.org
Graph neural networks have emerged as a leading architecture for many graph-level tasks,
such as graph classification and graph generation. As an essential component of the …

[PDF][PDF] Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities

C Liu, Y Zhan, J Wu, C Li, B Du, W Hu, T Liu, D Tao - ijcai.org
Graph neural networks have emerged as a leading architecture for many graph-level tasks,
such as graph classification and graph generation. As an essential component of the …

Graph pooling for graph neural networks: progress, challenges, and opportunities

C Liu, Y Zhan, J Wu, C Li, B Du… - … Joint Conference on …, 2023 - researchers.mq.edu.au
Graph neural networks have emerged as a leading architecture for many graph-level tasks,
such as graph classification and graph generation. As an essential component of the …