CasSeqGCN: Combining Network Structure and Temporal Sequence to Predict Information Cascades
An end-to-end deep learning framework, which combines the structural and temporal features to predict the growth size of a given cascade.
Requirements The codebase is implemented in Python 3.7.7. package versions used for development are just below.
tqdm 4.46.0
pytorch 1.5.0
numpy 1.18.1
torch-geometric 1.6.1