Multi-task learning of heterogeneous hypergraph representations in LBSNs

Preference prototype-aware learning for universal cross-domain recommendation

Physics-guided active sample reweighting for urban flow prediction

Watermarking recommender systems

Efficient and robust regularized federated recommendation

Scalable dynamic embedding size search for streaming recommendation

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

Hate speech detection with generalizable target-aware fairness

Unveiling vulnerabilities of contrastive recommender systems to poisoning attacks

Diffusion-based cloud-edge-device collaborative learning for next POI recommendations

Graph condensation for open-world graph learning

Lightweight embeddings for graph collaborative filtering

Poisoning decentralized collaborative recommender system and its countermeasures

CaseLink: inductive graph learning for legal case retrieval

On-device recommender systems: a tutorial on the new-generation recommendation paradigm

Accelerating scalable graph neural network inference with node-adaptive propagation

Towards personalized privacy: user-governed data contribution for federated recommendation

Challenging low homophily in social recommendation

Physical trajectory inference attack and defense in decentralized POI recommendation

Graph condensation for inductive node representation learning