A single graph-representation framework with a kinetic-model loss beats task-specific baselines on rumor, bot, and cascade tasks and transfers across datasets.
Challenging low homophily in social recommendation,
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Towards Propagation-aware Representation Learning for Supervised Social Media Graph Analytics
A single graph-representation framework with a kinetic-model loss beats task-specific baselines on rumor, bot, and cascade tasks and transfers across datasets.