Knowledge Graph Convolutional Networks for Recommender Systems

18 March 2019

Xing Xie

Papers citing "Knowledge Graph Convolutional Networks for Recommender Systems"

35 / 35 papers shown

Title
Hyperbolic Contrastive Learning with Model-augmentation for Knowledge-aware Recommendation Shengyin Sun Chen Ma 37 2 0 13 May 2025
Scaled Supervision is an Implicit Lipschitz Regularizer Z. Ouyang Chunhui Zhang Yaning Jia Soroush Vosoughi BDL OffRL 72 0 0 19 Mar 2025
Reading between the Lines: Can LLMs Identify Cross-Cultural Communication Gaps? Sougata Saha Saurabh Kumar Pandey Harshit Gupta Monojit Choudhury 53 0 0 21 Feb 2025
Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models Rui Cai Chao Wang Qianyi Cai Dazhong Shen Hui Xiong RALM 85 0 0 06 Feb 2025
RecKG: Knowledge Graph for Recommender Systems Junhyuk Kwon Seokho Ahn Young-Duk Seo 44 1 0 08 Jan 2025
Comprehending Knowledge Graphs with Large Language Models for Recommender Systems Ziqiang Cui Yunpeng Weng Xing Tang Fuyuan Lyu Dugang Liu Xiuqiang He Chen Ma 41 3 0 16 Oct 2024
Aligning Multiple Knowledge Graphs in a Single Pass Yaming Yang Zhe Wang Ziyu Guan Wei Zhao Christian Rupprecht Xinyan Huang Jiangtao Cui Xiaofei He 45 1 0 01 Aug 2024
Progressive Distillation Based on Masked Generation Feature Method for Knowledge Graph Completion Cunhang Fan Yujie Chen Jun Xue Yonghui Kong Jianhua Tao Zhao Lv 20 2 0 19 Jan 2024
Hypergraph Enhanced Knowledge Tree Prompt Learning for Next-Basket Recommendation Zi-Feng Mai Chang-Dong Wang Zhongjie Zeng Ya Li Jiaquan Chen Philip S. Yu 21 1 0 26 Dec 2023
On the Sweet Spot of Contrastive Views for Knowledge-enhanced Recommendation Haibo Ye Xinjie Li Yuan Yao Hanghang Tong 36 0 0 23 Sep 2023
Knowledge Graph Self-Supervised Rationalization for Recommendation Yuhao Yang Chao Huang Lianghao Xia Chunzhen Huang 27 88 0 06 Jul 2023
LogicRec: Recommendation with Users' Logical Requirements Zhenwei Tang Griffin Floto Armin Toroghi Shichao Pei Xiangliang Zhang Scott Sanner 30 3 0 23 Apr 2023
Exploring 360-Degree View of Customers for Lookalike Modeling Md. Mostafizur Rahman Daisuke Kikuta Satyen Abrol Yuya Hirate Toyotaro Suzumura Pablo S. Loyola Takuma Ebisu Manoj Kondapaka 19 5 0 17 Apr 2023
Contrastive Knowledge Graph Error Detection Qinggang Zhang Junnan Dong Keyu Duan Xiao Huang Yezi Liu Linchuan Xu 28 34 0 18 Nov 2022
Flattened Graph Convolutional Networks For Recommendation Yue Xu Hao Chen Zengde Deng Yuan-Qi Bei Feiran Huang BDL GNN 13 1 0 25 Sep 2022
TeKo: Text-Rich Graph Neural Networks with External Knowledge Zhizhi Yu Di Jin Jianguo Wei Ziyang Liu Yue Shang Yun Xiao Jiawei Han Lingfei Wu 26 4 0 15 Jun 2022
Knowledge Graph Contrastive Learning for Recommendation Yuhao Yang Chao Huang Lianghao Xia Chenliang Li 24 321 0 02 May 2022
A Survey on Dropout Methods and Experimental Verification in Recommendation Y. Li Weizhi Ma C. L. Philip Chen M. Zhang Yiqun Liu Shaoping Ma Yue Yang 33 9 0 05 Apr 2022
APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction Bencheng Yan Pengjie Wang Kai Zhang Feng Li Hongbo Deng Jian Xu Bo Zheng 19 20 0 30 Mar 2022
Neighbor Enhanced Graph Convolutional Networks for Node Classification and Recommendation Hao Chen Zhong Huang Yue Xu Zengde Deng Feiran Huang Peng He Zhoujun Li GNN 11 50 0 30 Mar 2022
Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks Qingsong Lv Ming Ding Qiang Liu Yuxiang Chen Wenzheng Feng Siming He Chang Zhou Jianguo Jiang Yuxiao Dong Jie Tang 34 312 0 30 Dec 2021
Multi-fidelity Stability for Graph Representation Learning Yihan He Joan Bruna 17 0 0 25 Nov 2021
Conditional Attention Networks for Distilling Knowledge Graphs in Recommendation Ke Tu Peng Cui Daixin Wang Zhiqiang Zhang Jun Zhou Yuan Qi Wenwu Zhu 27 46 0 03 Nov 2021
Recommender systems based on graph embedding techniques: A comprehensive review Yue Deng 37 22 0 20 Sep 2021
LT-OCF: Learnable-Time ODE-based Collaborative Filtering Jeongwhan Choi Jinsung Jeon Noseong Park 26 30 0 08 Aug 2021
A Review of Some Techniques for Inclusion of Domain-Knowledge into Deep Neural Networks T. Dash Sharad Chitlangia Aditya Ahuja A. Srinivasan 27 128 0 21 Jul 2021
Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation Sanshi Lei Yu Zhuoxuan Jiang Dongdong Chen Shanshan Feng Dongsheng Li Qi Liu Jinfeng Yi 30 20 0 07 Jun 2021
Bias in Knowledge Graphs -- an Empirical Study with Movie Recommendation and Different Language Editions of DBpedia M. Voit Heiko Paulheim 32 11 0 03 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
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources Xiao Wang Deyu Bo C. Shi Shaohua Fan Yanfang Ye Philip S. Yu AI4TS 35 294 0 30 Nov 2020
Graph Neural Networks in Recommender Systems: A Survey Shiwen Wu Fei Sun Wentao Zhang Xu Xie Bin Cui GNN 56 1,174 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
div2vec: Diversity-Emphasized Node Embedding Jisu Jeong Jeong-Min Yun Hongi Keam Young-Jin Park Zimin Park Junki Cho 9 5 0 21 Sep 2020
Random Features Strengthen Graph Neural Networks Ryoma Sato M. Yamada H. Kashima GNN AAML 13 230 0 08 Feb 2020
NEAR: Neighborhood Edge AggregatoR for Graph Classification Cheolhyeong Kim Haeseong Moon H. Hwang GNN 17 5 0 06 Sep 2019