核心概念
Proposing a novel Hierarchical Information Enhancement Network (HIENet) for cascade prediction in social networks, integrating fundamental cascade sequence, user social graphs, and sub-cascade graph into a unified framework.
统计
"Extensive experiments have demonstrated the effectiveness of the proposed method."
"The number of retweets within 24 hours approximates the ultimate popularity."
"The learning rate is set to 1e-4."
引用
"The prediction of a message’s reach has become a focal point of interest across academic research and commercial endeavors."
"Researchers leverage various deep learning techniques to capture temporal and sequential processes of information diffusion."