Review
Open access
Aug 2026
A Survey of Causal Learning in Graph-Based Recommender Systems
This survey reviews causal learning in GBRs by summarizing key challenges, establishing connections between causal inference and graph neural networks, and presenting a challenge-oriented taxonomy of representative causal techniques.
Dianer Yu, Qian Li, Balamurugan Soundararaj et al.
· ACM Computing Surveys · 0 citations