SIGformer: Sign-aware Graph Transformer for Recommendation

Explore the innovative SIGformer: Sign-aware Graph Transformer for Recommendation in this 11-minute conference talk presented at SIGIR 2024. Delve into the latest advancements in graph-based recommendation systems as authors Sirui Chen, Jiawei Chen, Sheng Zhou, Bohao Wang, Shen Han, Chanfei Su, Yuqing Yuan, and Can Wang introduce their novel approach. Learn how the SIGformer leverages sign-aware graph transformers to enhance recommendation accuracy and efficiency. Gain insights into the integration of graph structures and transformer architectures for improved personalized recommendations in various applications.

SIGIR 2024 T1.4 [fp] SIGformer: Sign-aware Graph Transformer for Recommendation