no code implementations • 10 Sep 2020 • Zhixuan Xu, Minghui Qian, Xiaowei Huang, Jie Meng
In this paper, we propose a novel deep learning architecture for cascade growth prediction, called CasGCN, which employs the graph convolutional network to extract structural features from a graphical input, followed by the application of the attention mechanism on both the extracted features and the temporal information before conducting cascade size prediction.
