Unsupervised social event detection via hybrid graph contrastive learning and reinforced incremental clustering

Yuanyuan Guo, Zehua Zang, Hang Gao, Xiao Xu, Rui Wang, Lixiang Liu, Jiangmeng Li

Abstract: Highlights•A novel unsupervised social event detection model, namely HCRC.•Effective approach for building hybrid social message graphs.•Solidly unsupervised incremental clustering module using reinforcement learning.•Comprehensive validation of HCRC through three distinct experimental settings.