GCN-WP -- Semi-Supervised Graph Convolutional Networks for Win Prediction in Esports. (arXiv:2207.13191v1 [cs.LG])

Win prediction is crucial to understanding skill modeling, teamwork and
matchmaking in esports. In this paper we propose GCN-WP, a semi-supervised win
prediction model for esports based on graph convolutional networks. This model
learns the structure of an esports league over the course of a season (1 year)
and makes predictions on another similar league. This model integrates over 30
features about the match and players and employs graph convolution to classify
games based on their neighborhood. Our model achieves …

arxiv esports graph lg networks prediction semi-supervised