GraphGT: Machine Learning Datasets for Graph Generation and Transformation

1 code implementation • NeurIPS Workshop AI4Scien 2021 • Yuanqi Du, Shiyu Wang, Xiaojie Guo, Hengning Cao, Shujie Hu, Junji Jiang, Aishwarya Varala, Abhinav Angirekula, Liang Zhao

Graph generation, which learns from known graphs and discovers novel graphs, has great potential in numerous research topics like drug design and mobility synthesis and is one of the fastest-growing domains recently due to its promise for discovering new knowledge.

BIG-bench Machine Learning Graph Generation +1