Reinforcement Subgraph Reasoning for Fake News Detection
A novel subgraph reasoning paradigm for fake news detection that provides explainability while improving generalization through reinforcement learning and hierarchical graph attention networks.
Jun 1, 2022
Towards Fine-Grained Reasoning for Fake News Detection
We propose a fine-grained reasoning framework for fake news detection by following the human information-processing model and designing a prior-aware bi-channel kernel graph network....
Jan 1, 2022