Abstract: Streaming Graph Pattern Mining (GPM) has been widely used in many application fields. However, the existing streaming GPM solution suffers from many unnecessary explorations and isomorphism ...

In modern quantitative finance and portfolio-based investment, modeling latent interactions among stocks is paramount for prediction and decision-making on profit, risk management, hedging, etc. While ...

This is a PyTorch implementation of the GraphCTA algorithm, which tries to address the domain adaptation problem without accessing the labelled source graph. It performs model adaptation and graph ...