The Time-Geometric model combines GNNs for geometric patterns with temporal models and reports statistically significant accuracy gains in financial time series forecasting.
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2026 2verdicts
UNVERDICTED 2representative citing papers
Autonomous agents sustain positive engagement lift in marketing personalization over time following initial human oversight in a real-world 11-month case study.
citing papers explorer
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The Statistical Significance of the Inclusion of Graph Neural Networks in the Financial Time Series Forecasting Problem
The Time-Geometric model combines GNNs for geometric patterns with temporal models and reports statistically significant accuracy gains in financial time series forecasting.
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Sustained Impact of Agentic Personalisation in Marketing: A Longitudinal Case Study
Autonomous agents sustain positive engagement lift in marketing personalization over time following initial human oversight in a real-world 11-month case study.