Semi-supervised User Geolocation via Graph Convolutional Networks

Understand

Social media user geolocation is vital to many applications such as event detection.

• In this paper, we propose GCN, a multiview geolocation model based on Graph Convolutional Networks, that uses both text and network context.
• We compare GCN to the state-of-the-art, and to two baselines we propose, and show that our model achieves or is competitive with the state- of-the-art over three benchmark geolocation datasets when sufficient supervision is available.
• We also evaluate GCN under a minimal supervision scenario, and show it outperforms baselines.