TKGB: A Comprehensive Benchmark for Temporal Knowledge Graph Forecasting
The authors introduced TKGB, a new benchmark to fix shortcuts in temporal knowledge graph forecasting datasets where models could cheat by counting co-occurrences instead of using time information. They created four bias-corrected datasets and two novel tasks—generative knowledge forecasting and obsolescence prediction—to test models on how they actually learn the evolution of knowledge over time.