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This study presents a novel deep learning method, called GATv2-GCN, for predicting player performance in sports.
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Guo, S., Lin, Y., Feng, N., Song, C., Wan, H.: Attention based spatial-temporal graph convolutional networks for traffic flow forecasting. In: Proceedings of the AAAI conference on artificial intelligence. vol. 33, pp. 922–929 (2019)
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Oytun, M., Tinazci, C., Sekeroglu, B., Acikada, C., Yavuz, H.U.: Performance prediction and evaluation in female handball players using machine learning models. IEEE Access 8
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Song, K., Shi, J.: A gamma process based in-play prediction model for national basketball association games. European Journal of Operational Research 283
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Salinas, D., Bohlke-Schneider, M., Callot, L., Medico, R., Gasthaus, J.: High-dimensional multivariate forecasting with low-rank gaussian copula processes. Advances in neural information processing systems 32
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Ishi, M.S., Patil, J.: A study on machine learning methods used for team formation and winner prediction in cricket. In: Inventive Computation and Information Technologies: Proceedings of ICICIT 2020. pp. 143–156. Springer (2021)
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