Dataset Groups Activity Stream Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities Graph pooling is an essential component of the architecture for many graph-level tasks, such as graph classification and graph generation. BibTex: @dataset{Chuang_Liu_and_Yibing_Zhan_and_Jia_Wu_and_Chang_Li_and_Bo_Du_and_Wenbin_Hu_and_Tongliang_Liu_and_Dacheng_Tao_2024, abstract = {Graph pooling is an essential component of the architecture for many graph-level tasks, such as graph classification and graph generation.}, author = {Chuang Liu and Yibing Zhan and Jia Wu and Chang Li and Bo Du and Wenbin Hu and Tongliang Liu and Dacheng Tao}, doi = {10.57702/9jivx18s}, institution = {No Organization}, keyword = {'graph classification', 'graph generation', 'graph neural networks', 'graph pooling'}, month = {dec}, publisher = {TIB}, title = {Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities}, url = {https://service.tib.eu/ldmservice/dataset/graph-pooling-for-graph-neural-networks--progress--challenges--and-opportunities}, year = {2024} }
