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Reinforcement Knowledge Graph Reasoning for Explainable Recommendation

Reinforcement Knowledge Graph Reasoning for Explainable Recommendation

12 June 2019
Yikun Xian
Zuohui Fu
S. Muthukrishnan
Gerard de Melo
Yongfeng Zhang
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Papers citing "Reinforcement Knowledge Graph Reasoning for Explainable Recommendation"

50 / 109 papers shown
Title
Fairness in Recommendation: Foundations, Methods and Applications
Fairness in Recommendation: Foundations, Methods and Applications
Yunqi Li
H. Chen
Shuyuan Xu
Yingqiang Ge
Juntao Tan
Shuchang Liu
Yongfeng Zhang
FaML
OffRL
108
41
0
26 May 2022
Constrained Reinforcement Learning for Short Video Recommendation
Constrained Reinforcement Learning for Short Video Recommendation
Qingpeng Cai
Ruohan Zhan
Chi Zhang
Jie Zheng
Guangwei Ding
Pinghua Gong
Dong Zheng
Peng Jiang
20
6
0
26 May 2022
Knowledge Graph Contrastive Learning for Recommendation
Knowledge Graph Contrastive Learning for Recommendation
Yuhao Yang
Chao Huang
Lianghao Xia
Chenliang Li
24
321
0
02 May 2022
Reinforcement learning on graphs: A survey
Reinforcement learning on graphs: A survey
Mingshuo Nie
Dongming Chen
Dongqi Wang
28
45
0
13 Apr 2022
Recommendation as Language Processing (RLP): A Unified Pretrain,
  Personalized Prompt & Predict Paradigm (P5)
Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)
Shijie Geng
Shuchang Liu
Zuohui Fu
Yingqiang Ge
Yongfeng Zhang
VLM
AI4TS
23
447
0
24 Mar 2022
KuaiRec: A Fully-observed Dataset and Insights for Evaluating
  Recommender Systems
KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems
Chongming Gao
Shijun Li
Wenqiang Lei
Jiawei Chen
Biao Li
Peng Jiang
Xiangnan He
Jiaxin Mao
Tat-Seng Chua
24
130
0
22 Feb 2022
Graph-based Extractive Explainer for Recommendations
Graph-based Extractive Explainer for Recommendations
Peifeng Wang
Renqin Cai
Hongning Wang
39
14
0
20 Feb 2022
Learning and Evaluating Graph Neural Network Explanations based on
  Counterfactual and Factual Reasoning
Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning
Juntao Tan
Shijie Geng
Zuohui Fu
Yingqiang Ge
Shuyuan Xu
Yunqi Li
Yongfeng Zhang
36
108
0
17 Feb 2022
Personalized Prompt Learning for Explainable Recommendation
Personalized Prompt Learning for Explainable Recommendation
Lei Li
Yongfeng Zhang
Li Chen
LRM
19
164
0
15 Feb 2022
Online POI Recommendation: Learning Dynamic Geo-Human Interactions in
  Streams
Online POI Recommendation: Learning Dynamic Geo-Human Interactions in Streams
Dongjie Wang
Kunpeng Liu
Hui Xiong
Yanjie Fu
71
8
0
19 Jan 2022
An original model for multi-target learning of logical rules for
  knowledge graph reasoning
An original model for multi-target learning of logical rules for knowledge graph reasoning
Yuliang Wei
Haotian Li
Guodong Xin
Yao Wang
Bailing Wang
19
0
0
12 Dec 2021
Adversarial Robustness of Deep Reinforcement Learning based Dynamic
  Recommender Systems
Adversarial Robustness of Deep Reinforcement Learning based Dynamic Recommender Systems
Siyu Wang
Yuanjiang Cao
Xiaocong Chen
L. Yao
Xianzhi Wang
Quan.Z Sheng
AAML
15
3
0
02 Dec 2021
Reinforcement Learning based Path Exploration for Sequential Explainable
  Recommendation
Reinforcement Learning based Path Exploration for Sequential Explainable Recommendation
Yicong Li
Hongxu Chen
Yile Li
Lin Li
Philip S. Yu
Guandong Xu
13
14
0
24 Nov 2021
Explainable Biomedical Recommendations via Reinforcement Learning
  Reasoning on Knowledge Graphs
Explainable Biomedical Recommendations via Reinforcement Learning Reasoning on Knowledge Graphs
G. Edwards
Sebastian Nilsson
Benedek Rozemberczki
Eliseo Papa
21
12
0
20 Nov 2021
Conditional Attention Networks for Distilling Knowledge Graphs in
  Recommendation
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
Comparative Explanations of Recommendations
Comparative Explanations of Recommendations
Aobo Yang
Nan Wang
Renqin Cai
Hongbo Deng
Hongning Wang
23
11
0
01 Nov 2021
Explainable Student Performance Prediction With Personalized Attention
  for Explaining Why A Student Fails
Explainable Student Performance Prediction With Personalized Attention for Explaining Why A Student Fails
Kun Niu
Xipeng Cao
Yicong Yu
9
2
0
15 Oct 2021
Social Recommendation with Self-Supervised Metagraph Informax Network
Social Recommendation with Self-Supervised Metagraph Informax Network
Xiaoling Long
Chao Huang
Yong-mei Xu
Huance Xu
Peng Dai
Lianghao Xia
Liefeng Bo
50
86
0
08 Oct 2021
Inferring Substitutable and Complementary Products with Knowledge-Aware
  Path Reasoning based on Dynamic Policy Network
Inferring Substitutable and Complementary Products with Knowledge-Aware Path Reasoning based on Dynamic Policy Network
Zijing Yang
Jiabo Ye
Linlin Wang
Xin Lin
Liang He
26
16
0
07 Oct 2021
Recommender systems based on graph embedding techniques: A comprehensive
  review
Recommender systems based on graph embedding techniques: A comprehensive review
Yue Deng
37
22
0
20 Sep 2021
Augmenting the User-Item Graph with Textual Similarity Models
Augmenting the User-Item Graph with Textual Similarity Models
F. López
Martin Scholz
Jessica Yung
Marie Pellat
Michael Strube
Lucas Dixon
11
5
0
20 Sep 2021
A Survey of Deep Reinforcement Learning in Recommender Systems: A
  Systematic Review and Future Directions
A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions
Xiaocong Chen
L. Yao
Julian McAuley
Guanglin Zhou
Xianzhi Wang
AI4TS
8
61
0
08 Sep 2021
PR-Net: Preference Reasoning for Personalized Video Highlight Detection
PR-Net: Preference Reasoning for Personalized Video Highlight Detection
Runnan Chen
Pengcheng Zhou
Wenzhe Wang
Nenglun Chen
Pai Peng
Xing Sun
Wenping Wang
11
13
0
04 Sep 2021
Counterfactual Explainable Recommendation
Counterfactual Explainable Recommendation
Juntao Tan
Shuyuan Xu
Yingqiang Ge
Yunqi Li
Xu Chen
Yongfeng Zhang
CML
22
141
0
24 Aug 2021
KG4Vis: A Knowledge Graph-Based Approach for Visualization
  Recommendation
KG4Vis: A Knowledge Graph-Based Approach for Visualization Recommendation
Haotian Li
Yong Wang
Songheng Zhang
Yangqiu Song
Huamin Qu
39
82
0
27 Jul 2021
Rating and aspect-based opinion graph embeddings for explainable
  recommendations
Rating and aspect-based opinion graph embeddings for explainable recommendations
Iván Cantador
Andrés Carvallo
F. Díez
20
3
0
07 Jul 2021
Graphing else matters: exploiting aspect opinions and ratings in
  explainable graph-based recommendations
Graphing else matters: exploiting aspect opinions and ratings in explainable graph-based recommendations
Iván Cantador
Andrés Carvallo
F. Díez
Denis Parra
17
0
0
07 Jul 2021
DRILL-- Deep Reinforcement Learning for Refinement Operators in
  $\mathcal{ALC}$
DRILL-- Deep Reinforcement Learning for Refinement Operators in ALC\mathcal{ALC}ALC
Caglar Demir
A. N. Ngomo
OffRL
17
5
0
29 Jun 2021
Hyperbolic Temporal Knowledge Graph Embeddings with Relational and Time
  Curvatures
Hyperbolic Temporal Knowledge Graph Embeddings with Relational and Time Curvatures
Sébastien Montella
L. Rojas-Barahona
Johannes Heinecke
12
27
0
08 Jun 2021
Personalized Transformer for Explainable Recommendation
Personalized Transformer for Explainable Recommendation
Lei Li
Yongfeng Zhang
Li Chen
20
138
0
25 May 2021
Thematic recommendations on knowledge graphs using multilayer networks
Thematic recommendations on knowledge graphs using multilayer networks
Mariano Beguerisse-Díaz
Dimitrios Korkinof
Till Hoffmann
16
1
0
12 May 2021
Counterfactual Explanations for Neural Recommenders
Counterfactual Explanations for Neural Recommenders
Khanh Tran
Azin Ghazimatin
Rishiraj Saha Roy
AAML
CML
52
65
0
11 May 2021
Learning to Ask Appropriate Questions in Conversational Recommendation
Learning to Ask Appropriate Questions in Conversational Recommendation
Xuhui Ren
Hongzhi Yin
Tong Chen
Hao Wang
Zi Huang
Kai Zheng
16
66
0
11 May 2021
Neural Graph Matching based Collaborative Filtering
Neural Graph Matching based Collaborative Filtering
Yixin Su
Rui Zhang
S. Erfani
Junhao Gan
29
46
0
10 May 2021
A Survey on Accuracy-oriented Neural Recommendation: From Collaborative
  Filtering to Information-rich Recommendation
A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendation
Le Wu
Xiangnan He
Xiang Wang
Kun Zhang
Meng Wang
HAI
24
283
0
27 Apr 2021
Improving Pretrained Models for Zero-shot Multi-label Text
  Classification through Reinforced Label Hierarchy Reasoning
Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy Reasoning
Hui Liu
Danqing Zhang
Bing Yin
Xiao-Dan Zhu
VLM
13
23
0
04 Apr 2021
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised
  Learning
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning
Yixin Liu
Zhao Li
Shirui Pan
Chen Gong
Chuan Zhou
George Karypis
33
289
0
27 Feb 2021
Learning Intents behind Interactions with Knowledge Graph for
  Recommendation
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
Advances and Challenges in Conversational Recommender Systems: A Survey
Chongming Gao
Wenqiang Lei
Xiangnan He
Maarten de Rijke
Tat-Seng Chua
130
273
0
23 Jan 2021
Generate Natural Language Explanations for Recommendation
Generate Natural Language Explanations for Recommendation
H. Chen
Xu Chen
Shaoyun Shi
Yongfeng Zhang
LRM
14
59
0
09 Jan 2021
Deep Reinforcement Learning with Stacked Hierarchical Attention for
  Text-based Games
Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games
Yunqiu Xu
Meng Fang
Ling-Hao Chen
Yali Du
Joey Tianyi Zhou
Chengqi Zhang
OffRL
25
44
0
22 Oct 2020
Interpretable Disease Prediction based on Reinforcement Path Reasoning
  over Knowledge Graphs
Interpretable Disease Prediction based on Reinforcement Path Reasoning over Knowledge Graphs
Zhoujian Sun
W. Dong
Jinlong Shi
Zhengxing Huang
17
6
0
16 Oct 2020
A Survey of Knowledge-Enhanced Text Generation
A Survey of Knowledge-Enhanced Text Generation
Wenhao Yu
Chenguang Zhu
Zaitang Li
Zhiting Hu
Qingyun Wang
Heng Ji
Meng-Long Jiang
21
279
0
09 Oct 2020
Learning Post-Hoc Causal Explanations for Recommendation
Learning Post-Hoc Causal Explanations for Recommendation
Shuyuan Xu
Yunqi Li
Shuchang Liu
Zuohui Fu
Xu Chen
Yongfeng Zhang
CML
22
20
0
30 Jun 2020
Causality Learning: A New Perspective for Interpretable Machine Learning
Causality Learning: A New Perspective for Interpretable Machine Learning
Guandong Xu
Tri Dung Duong
Q. Li
S. Liu
Xianzhi Wang
XAI
OOD
CML
8
51
0
27 Jun 2020
Adversarial Attacks and Detection on Reinforcement Learning-Based
  Interactive Recommender Systems
Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems
Yuanjiang Cao
Xiaocong Chen
Lina Yao
Xianzhi Wang
W. Zhang
AAML
9
43
0
14 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
12
204
0
03 Jun 2020
User Memory Reasoning for Conversational Recommendation
User Memory Reasoning for Conversational Recommendation
Hu Xu
Seungwhan Moon
Honglei Liu
Bing-Quan Liu
Pararth Shah
Bing Liu
Philip S. Yu
OffRL
11
42
0
30 May 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
12
35
0
17 Apr 2020
Heterogeneous Relational Reasoning in Knowledge Graphs with
  Reinforcement Learning
Heterogeneous Relational Reasoning in Knowledge Graphs with Reinforcement Learning
Mandana Saebi
Steven J. Krieg
Chuxu Zhang
Meng-Long Jiang
Nitesh V. Chawla
25
13
0
12 Mar 2020
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