Disentangled representations for cross-domain recommendation via heterogeneous graph contrastive learning

Privacy-preserving explainable AI: a survey

Handling low homophily in recommender systems with partitioned graph transformer

Multi-task learning of heterogeneous hypergraph representations in LBSNs

A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security

Teaching MLPs to Master Heterogeneous Graph-Structured Knowledge for Efficient and Accurate Inference

PUMA: efficient continual graph learning for node classification with graph condensation

Hyperbolic adversarial learning for personalized item recommendation

Distribution-Aware Data Expansion with Diffusion Models

Reliable node similarity matrix guided contrastive graph clustering

Hyperbolic translation-based sequential recommendation

Multi-level graph knowledge contrastive learning

A dual benchmarking study of facial forgery and facial forensics

Physics-guided active sample reweighting for urban flow prediction

Preference prototype-aware learning for universal cross-domain recommendation

Efficient and robust regularized federated recommendation

Watermarking recommender systems

Scalable dynamic embedding size search for streaming recommendation

DNS-Rec: data-aware neural architecture search for recommender systems

Manipulating recommender systems: A survey of poisoning attacks and countermeasures