Structured, Complex, and Time-complete Temporal Event Forecasting: A Comprehensive Formulation and Benchmark

This work proposes a novel formulation of Structured, Complex, and Time-complete Temporal Events (SCTc-TE) to comprehensively represent temporal events, and develops a fully automated pipeline to construct large-scale SCTc-TE datasets. It also introduces a novel forecasting method, LoGo, that leverages both local and global contexts for improved performance.