 Knowledge Enhancement for Contrastive Multi-Behavior RecommendationWeb Search and Data Mining (WSDM), 2023 |
 Knowledge Graph Contrastive Learning for RecommendationAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022 |
 SimGRACE: A Simple Framework for Graph Contrastive Learning without Data
AugmentationThe Web Conference (WWW), 2022 |
 Knowledge-Enhanced Top-K Recommendation in Poincaré BallAAAI Conference on Artificial Intelligence (AAAI), 2021 |
 Self-supervised Graph Learning for RecommendationAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020 |
 LightGCN: Simplifying and Powering Graph Convolution Network for
RecommendationAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020 |
 Hyperbolic Graph Convolutional Neural NetworksNeural Information Processing Systems (NeurIPS), 2019 |
 KGAT: Knowledge Graph Attention Network for RecommendationKnowledge Discovery and Data Mining (KDD), 2019 |
 Knowledge-aware Graph Neural Networks with Label Smoothness
Regularization for Recommender SystemsKnowledge Discovery and Data Mining (KDD), 2019 |
 Knowledge Graph Convolutional Networks for Recommender SystemsThe Web Conference (WWW), 2019 |
 Graph Attention NetworksInternational Conference on Learning Representations (ICLR), 2017 |
 BPR: Bayesian Personalized Ranking from Implicit FeedbackConference on Uncertainty in Artificial Intelligence (UAI), 2009 |
