A MagNet GNN on temporal directed head-to-head graphs matches Elo-level tennis forecast accuracy and earns small but statistically significant betting profits on high-intransitivity matchups, though the headline combined-forecast result in the abstract is missing from the paper.
Information Systems and e-Business Management 20, 551–580
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Capturing Intransitive Dominance in Tennis Forecasting: A Graph Neural Network Approach
A MagNet GNN on temporal directed head-to-head graphs matches Elo-level tennis forecast accuracy and earns small but statistically significant betting profits on high-intransitivity matchups, though the headline combined-forecast result in the abstract is missing from the paper.