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Hierarchical Attentive Knowledge Graph Embedding for Personalized
  Recommendation
v1v2v3v4 (latest)

Hierarchical Attentive Knowledge Graph Embedding for Personalized Recommendation

18 October 2019
Xiao Sha
Zhu Sun
Jie Zhang
ArXiv (abs)PDFHTML

Papers citing "Hierarchical Attentive Knowledge Graph Embedding for Personalized Recommendation"

27 / 27 papers shown
Title
Robust Explainable Recommendation
Robust Explainable Recommendation
Sairamvinay Vijayaraghavan
Prasant Mohapatra
AAML
67
0
0
03 May 2024
Improving Conversational Recommender Systems via Knowledge Graph based
  Semantic Fusion
Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion
Kun Zhou
Wayne Xin Zhao
Shuqing Bian
Yuanhang Zhou
Ji-Rong Wen
Jingsong Yu
86
324
0
08 Jul 2020
Attentional Graph Convolutional Networks for Knowledge Concept
  Recommendation in MOOCs in a Heterogeneous View
Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View
Shen Wang
Jibing Gong
Jinlong Wang
Wenzheng Feng
Hao Peng
Jie Tang
Philip S. Yu
AI4EdHAI
52
133
0
23 Jun 2020
A Knowledge-Enhanced Recommendation Model with Attribute-Level
  Co-Attention
A Knowledge-Enhanced Recommendation Model with Attribute-Level Co-Attention
Deqing Yang
Zengcun Song
L. Xue
Yanghua Xiao
21
11
0
18 Jun 2020
Incorporating User Micro-behaviors and Item Knowledge into Multi-task
  Learning for Session-based Recommendation
Incorporating User Micro-behaviors and Item Knowledge into Multi-task Learning for Session-based Recommendation
Wenjing Meng
Deqing Yang
Yanghua Xiao
63
109
0
12 Jun 2020
Fairness-Aware Explainable Recommendation over Knowledge Graphs
Fairness-Aware Explainable Recommendation over Knowledge Graphs
Zuohui Fu
Yikun Xian
Ruoyuan Gao
Jieyu Zhao
Qiaoying Huang
...
Shuyuan Xu
Shijie Geng
C. Shah
Yongfeng Zhang
Gerard de Melo
FaML
106
208
0
03 Jun 2020
Knowledge-guided Deep Reinforcement Learning for Interactive
  Recommendation
Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation
Xiaocong Chen
Chaoran Huang
Lina Yao
Xianzhi Wang
Wei Liu
Wenjie Zhang
115
36
0
17 Apr 2020
Reinforced Negative Sampling over Knowledge Graph for Recommendation
Reinforced Negative Sampling over Knowledge Graph for Recommendation
Xiang Wang
Yaokun Xu
Xiangnan He
Yixin Cao
Meng Wang
Tat-Seng Chua
OffRL
67
183
0
12 Mar 2020
LightGCN: Simplifying and Powering Graph Convolution Network for
  Recommendation
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
Xiangnan He
Kuan Deng
Xiang Wang
Yan Li
Yongdong Zhang
Meng Wang
GNN
189
3,674
0
06 Feb 2020
A Survey on Knowledge Graphs: Representation, Acquisition and
  Applications
A Survey on Knowledge Graphs: Representation, Acquisition and Applications
Shaoxiong Ji
Shirui Pan
Min Zhang
Pekka Marttinen
Philip S. Yu
300
1,998
0
02 Feb 2020
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph
  Convolutional Network Approach
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach
Lei Chen
Le Wu
Richang Hong
Kun Zhang
Meng Wang
GNN
81
502
0
28 Jan 2020
Inductive Relation Prediction by Subgraph Reasoning
Inductive Relation Prediction by Subgraph Reasoning
Komal K. Teru
E. Denis
William L. Hamilton
NAIAI4CE
86
398
0
16 Nov 2019
Neural Graph Collaborative Filtering
Neural Graph Collaborative Filtering
Xiang Wang
Xiangnan He
Meng Wang
Fuli Feng
Tat-Seng Chua
187
2,991
0
20 May 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
88
1,822
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
67
553
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
67
163
0
29 Apr 2019
Improving Question Answering by Commonsense-Based Pre-Training
Improving Question Answering by Commonsense-Based Pre-Training
Wanjun Zhong
Duyu Tang
N. Duan
Ming Zhou
Jiahai Wang
Jian Yin
NAILRMReLM
49
523
0
05 Sep 2018
RippleNet: Propagating User Preferences on the Knowledge Graph for
  Recommender Systems
RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems
Hongwei Wang
Fuzheng Zhang
Jialin Wang
Miao Zhao
Wenjie Li
Xing Xie
Minyi Guo
91
1,050
0
09 Mar 2018
Variational Autoencoders for Collaborative Filtering
Variational Autoencoders for Collaborative Filtering
Dawen Liang
Rahul G. Krishnan
Matthew D. Hoffman
Tony Jebara
BDL
181
1,241
0
16 Feb 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
481
20,225
0
30 Oct 2017
Disentangled Variational Auto-Encoder for Semi-supervised Learning
Disentangled Variational Auto-Encoder for Semi-supervised Learning
Yang Li
Quan Pan
Suhang Wang
Haiyun Peng
Tao Yang
Min Zhang
DRL
51
87
0
15 Sep 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
514
15,319
0
07 Jun 2017
Heterogeneous Information Network Embedding for Meta Path based
  Proximity
Heterogeneous Information Network Embedding for Meta Path based Proximity
Zhipeng Huang
N. Mamoulis
GNN
58
110
0
19 Jan 2017
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,312
0
22 Dec 2014
Embedding Entities and Relations for Learning and Inference in Knowledge
  Bases
Embedding Entities and Relations for Learning and Inference in Knowledge Bases
Bishan Yang
Wen-tau Yih
Xiaodong He
Jianfeng Gao
Li Deng
NAI
107
3,203
0
20 Dec 2014
DeepWalk: Online Learning of Social Representations
DeepWalk: Online Learning of Social Representations
Bryan Perozzi
Rami Al-Rfou
Steven Skiena
HAI
263
9,800
0
26 Mar 2014
BPR: Bayesian Personalized Ranking from Implicit Feedback
BPR: Bayesian Personalized Ranking from Implicit Feedback
Steffen Rendle
Christoph Freudenthaler
Zeno Gantner
Lars Schmidt-Thieme
BDL
152
5,734
0
09 May 2012
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