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RippleNet: Propagating User Preferences on the Knowledge Graph for
  Recommender Systems

RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems

9 March 2018
Hongwei Wang
Fuzheng Zhang
Jialin Wang
Miao Zhao
Wenjie Li
Xing Xie
M. Guo
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Papers citing "RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems"

13 / 163 papers shown
Title
GraphSW: a training protocol based on stage-wise training for GNN-based
  Recommender Model
GraphSW: a training protocol based on stage-wise training for GNN-based Recommender Model
Chang-You Tai
Meng-Ru Wu
Yun-Wei Chu
Shao-Yu Chu
11
3
0
13 Aug 2019
Ekar: An Explainable Method for Knowledge Aware Recommendation
Ekar: An Explainable Method for Knowledge Aware Recommendation
Weiping Song
Zhijian Duan
Ziqing Yang
Haozhe Zhu
Ming Zhang
Jian Tang
CML
21
15
0
22 Jun 2019
Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
Yikun Xian
Zuohui Fu
S. Muthukrishnan
Gerard de Melo
Yongfeng Zhang
32
458
0
12 Jun 2019
KGAT: Knowledge Graph Attention Network for Recommendation
KGAT: Knowledge Graph Attention Network for Recommendation
Xiang Wang
Xiangnan He
Yixin Cao
Meng Liu
Tat-Seng Chua
OffRL
23
1,787
0
20 May 2019
Knowledge-aware Graph Neural Networks with Label Smoothness
  Regularization for Recommender Systems
Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems
Hongwei Wang
Fuzheng Zhang
Mengdi Zhang
J. Leskovec
Miao Zhao
Wenjie Li
Zhongyuan Wang
17
543
0
11 May 2019
Relational Collaborative Filtering:Modeling Multiple Item Relations for
  Recommendation
Relational Collaborative Filtering:Modeling Multiple Item Relations for Recommendation
Xin Xin
Xiangnan He
Yongfeng Zhang
Yongdong Zhang
J. Jose
7
161
0
29 Apr 2019
Knowledge Graph Convolutional Networks for Recommender Systems
Knowledge Graph Convolutional Networks for Recommender Systems
Hongwei Wang
Miao Zhao
Xing Xie
Wenjie Li
M. Guo
21
910
0
18 Mar 2019
Jointly Learning Explainable Rules for Recommendation with Knowledge
  Graph
Jointly Learning Explainable Rules for Recommendation with Knowledge Graph
Weizhi Ma
Min Zhang
Yue Cao
Woojeong Jin
Jin
Chenyang Wang
Yiqun Liu
Shaoping Ma
Xiang Ren
19
214
0
09 Mar 2019
A Relational Tucker Decomposition for Multi-Relational Link Prediction
A Relational Tucker Decomposition for Multi-Relational Link Prediction
Yanjie Wang
Samuel Broscheit
Rainer Gemulla
14
5
0
03 Feb 2019
Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation
Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation
Hongwei Wang
Fuzheng Zhang
Miao Zhao
Wenjie Li
Xing Xie
M. Guo
9
453
0
23 Jan 2019
Explaining Latent Factor Models for Recommendation with Influence
  Functions
Explaining Latent Factor Models for Recommendation with Influence Functions
Weiyu Cheng
Yanyan Shen
Yanmin Zhu
Linpeng Huang
19
48
0
20 Nov 2018
Prediction of ESG Compliance using a Heterogeneous Information Network
Prediction of ESG Compliance using a Heterogeneous Information Network
Ryohei Hisano
D. Sornette
Takayuki Mizuno
4
20
0
09 Nov 2018
Explainable Recommendation: A Survey and New Perspectives
Explainable Recommendation: A Survey and New Perspectives
Yongfeng Zhang
Xu Chen
XAI
LRM
37
865
0
30 Apr 2018
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