Disentangled Graph Prompting for Out-Of-Distribution Detection

Cheng Yang, Yu Hao, Qi Zhang +1

When testing data and training data come from different distributions, deep neural networks (DNNs) will face significant safety risks in practical applications. Therefore, out-of-d…