2020
Hyper-SAGNN: a self-attention based graph neural network for hypergraphs
ICLR 2020poster
Graph representation learning for hypergraphs can be utilized to extract patterns among higher-order interactions that are critically important in many real world problems. Current approaches designed for hypergraphs, however, are unable to handle different types of hypergraphs and are typically not…