Dataset Groups Activity Stream ogbn-products Graph Neural Networks (GNNs) have become a popular approach for various applications, ranging from social network analysis to modeling chemical properties of molecules. BibTex: @dataset{Yuxin_Tang_and_Zhimin_Ding_and_Dimitrije_Jankov_and_Binhang_Yuan_and_Daniel_Bourgeois_and_Chris_Jermaine_2024, abstract = {Graph Neural Networks (GNNs) have become a popular approach for various applications, ranging from social network analysis to modeling chemical properties of molecules.}, author = {Yuxin Tang and Zhimin Ding and Dimitrije Jankov and Binhang Yuan and Daniel Bourgeois and Chris Jermaine}, doi = {10.57702/kpy9x99b}, institution = {No Organization}, keyword = {'Graph Classification', 'Graph Embeddings', 'Graph Neural Networks', 'graph convolutional networks', 'graph neural networks', 'product recommendation'}, month = {dec}, publisher = {TIB}, title = {ogbn-products}, url = {https://service.tib.eu/ldmservice/dataset/ogbn-products}, year = {2024} }
