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From Leakage to Fidelity: Reliable Benchmarking for Temporal Cascade Prediction

Peng, Jie et al.
arXiv (All) · Papers
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machine-learningsocial-and-information-networks
Temporal cascade prediction is widely studied, yet its empirical foundations remain fragile. Most existing works report results under random cascade splits that mix past and future signals, rely on datasets with limited features and no downstream conversion labels, and compare increasingly complex m
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