Reinforced Negative Sampling over Knowledge Graph for Recommendation

Reinforced Negative Sampling over Knowledge Graph for Recommendation

12 March 2020

Xiang Wang

Meng Wang

Papers citing "Reinforced Negative Sampling over Knowledge Graph for Recommendation"

16 / 16 papers shown

Title
Beyond Models! Explainable Data Valuation and Metric Adaption for Recommendation Renqi Jia Xiaokun Zhang Bowei He Qiannan Zhu Weitao Xu Jiehao Chen Chen Ma TDI 77 0 0 12 Feb 2025
Generating Negative Samples for Multi-Modal Recommendation Yanbiao Ji Yue Ding Dan Luo Chang Liu Jing Tong Shaokai Wu Hongtao Lu 39 0 0 25 Jan 2025
Improved Diversity-Promoting Collaborative Metric Learning for Recommendation Shilong Bao Qianqian Xu Zhiyong Yang Yuan He Xiaochun Cao Qingming Huang 53 5 0 02 Sep 2024
DropMix: Better Graph Contrastive Learning with Harder Negative Samples Yueqi Ma Minjie Chen Xiang Li SSL 28 1 0 15 Oct 2023
Debiasing the Cloze Task in Sequential Recommendation with Bidirectional Transformers Khalil Damak Sami Khenissi O. Nasraoui BDL 29 7 0 22 Jan 2023
FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings Cheng-Te Li Cheng-Mao Hsu Yang Zhang FaML 27 35 0 30 Apr 2022
Bayesian Negative Sampling for Recommendation B. Liu Bang-wei Wang BDL 25 9 0 02 Apr 2022
Knowledge Graph-enhanced Sampling for Conversational Recommender System Mengyuan Zhao Xiaowen Huang Lixi Zhu Jitao Sang Jian Yu 21 3 0 13 Oct 2021
Recommender systems based on graph embedding techniques: A comprehensive review Yue Deng 44 22 0 20 Sep 2021
Debiased Explainable Pairwise Ranking from Implicit Feedback Khalil Damak Sami Khenissi O. Nasraoui 21 16 0 30 Jul 2021
Scalable Personalised Item Ranking through Parametric Density Estimation Riku Togashi Masahiro Kato Mayu Otani T. Sakai Shiníchi Satoh 38 0 0 11 May 2021
Learning Intents behind Interactions with Knowledge Graph for Recommendation Xiang Wang Tinglin Huang Dingxian Wang Yancheng Yuan Zhenguang Liu Xiangnan He Tat-Seng Chua 88 414 0 14 Feb 2021
Advances and Challenges in Conversational Recommender Systems: A Survey Chongming Gao Wenqiang Lei Xiangnan He Maarten de Rijke Tat-Seng Chua 138 273 0 23 Jan 2021
Graph Neural Networks in Recommender Systems: A Survey Shiwen Wu Fei Sun Wentao Zhang Xu Xie Bin Cui GNN 56 1,175 0 04 Nov 2020
Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation Mrigank Raman Aaron Chan Siddhant Agarwal Peifeng Wang Hansen Wang Sungchul Kim Ryan Rossi Handong Zhao Nedim Lipka Xiang Ren 36 19 0 24 Oct 2020
Hierarchical Attentive Knowledge Graph Embedding for Personalized Recommendation Xiao Sha Zhu Sun Jie Zhang 36 63 0 18 Oct 2019