Learn about fact verification using graph neural networks in this Chinese language lecture that explores how to leverage graph-based deep learning approaches for automated fact-checking and verification tasks. Examine methods for constructing knowledge graphs, implementing graph neural network architectures, and applying these techniques to determine the veracity of claims by analyzing relationships between entities and evidence in structured knowledge bases.
Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
