IP屬地：北京
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LLMRec: Large Language Models with Graph Augmentation for RecommendationLLMRec: Large Language Models with Graph Augmentation for Recommendation...
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SIGIR'2023 Generative Sequential Recommendation with GPTRecGenerative Sequential Recommendation with GPTRec 來(lái)源：SIGIR 2023 摘要：順序推薦旨在...
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SIGIR'23 Graph Masked Autoencoder for Sequential RecommendationGraph Masked Autoencoder for Sequential Recommendation 來(lái)源：SIGIR 2023 摘要：...
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ICLR'23 LightGCL: SIMPLE YET EFFECTIVE GRAPH CONTRASTIVE LEARNING FOR RECOMMENDATIONLightGCL: SIMPLE YET EFFECTIVE GRAPH CONTRASTIVE LEARNING FOR RECOMMENDA...
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CIKM'22 Multi-level Contrastive Learning Framework for Sequential RecommendationMulti-level Contrastive Learning Framework for Sequential Recommendation...
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TKDE'22 XSimGCL: Towards Extremely Simple Graph Contrastive Learning for RecommendationXSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recomme...
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WSDM'22 Triangle Graph Interest Network for Click-through Rate PredictionTriangle Graph Interest Network for Click-through Rate Prediction 三角形圖興趣...
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WWW'22 Graph Neural Transport Networks with Non-local Attentions for Recommender SystemsGraph Neural Transport Networks with Non-local Attentions for Recommende...
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SIGIR'22 A Review-aware Graph Contrastive Learning Framework for RecommendationA Review-aware Graph Contrastive Learning Framework for Recommendation 用...
個(gè)人介紹
北交大在讀研究生，方向是推薦系統(tǒng)與圖神經(jīng)網(wǎng)絡(luò)羔沙，歡迎小伙伴一起討論與進(jìn)步~