Yongchao Liu

Text-rich networks get a hierarchical upgrade: TIER leverages LLMs and contrastive learning to build taxonomy-aware node embeddings, significantly outperforming existing methods.

LLMs can be adapted for scenario-specific user representation by conditioning on queries, achieving state-of-the-art performance on Alipay benchmarks and demonstrating practical effectiveness in online A/B testing.