Information Cascade Popularity Prediction
2 papers with code • 3 benchmarks • 1 datasets
Weibo
Most implemented papers
CCGL: Contrastive Cascade Graph Learning
Xovee/ccgl
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Second, it learns a generic model for graph cascade tasks via self-supervised contrastive pre-training using both unlabeled and labeled data.
HierCas: Hierarchical Temporal Graph Attention Networks for Popularity Prediction in Information Cascades
In this paper, we propose Hierarchical Temporal Graph Attention Networks for cascade popularity prediction (HierCas), which operates on the entire cascade graph by a dynamic graph modeling approach.
