Impact Statement: Unlike tasks that focus on completing missing parts in static or temporal knowledge graphs (KGs), temporal extrapolation deals with uncertainty over time. It aims to predict future ...

The extrapolation method is based on the decomposition of finite segments of the signal via truncated series of real-valued linear prolate functions. Our theoretical derivation shows that given a ...

Official code of the paper 'Graph Neural Processes for Spatio-Temporal Extrapolation'. Abstract: We study the task of spatio-temporal extrapolation that generates data at a target location from ...

Abstract: Discovering the potential vulnerabilities in software plays a crucial role in ensuring the security of computer system. This paper proposes a method that can assist security auditors with ...