Handling low homophily in recommender systems with partitioned graph transformer

Multi-task learning of heterogeneous hypergraph representations in LBSNs

Training-free LLM Merging for Multi-task Learning

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

Hyperbolic adversarial learning for personalized item recommendation

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

Resource-efficient model deployment for Enterprise AI

Enhancing treatment effect estimation via active learning: a counterfactual covering perspective

A dual benchmarking study of facial forgery and facial forensics

Reliable node similarity matrix guided contrastive graph clustering

Hyperbolic translation-based sequential recommendation

Multi-level graph knowledge contrastive learning

Watermarking recommender systems

Scalable dynamic embedding size search for streaming recommendation

Physics-guided active sample reweighting for urban flow prediction

Preference prototype-aware learning for universal cross-domain recommendation

Efficient and robust regularized federated recommendation

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

Manipulating recommender systems: A survey of poisoning attacks and countermeasures

Higher-order knowledge-enhanced recommendation with heterogeneous hypergraph multi-attention