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Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation

Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation

23 January 2019
Hongwei Wang
Fuzheng Zhang
Miao Zhao
Wenjie Li
Xing Xie
Minyi Guo
ArXivPDFHTML

Papers citing "Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation"

33 / 33 papers shown
Title
Can LLM-Driven Hard Negative Sampling Empower Collaborative Filtering? Findings and Potentials
Can LLM-Driven Hard Negative Sampling Empower Collaborative Filtering? Findings and Potentials
Chu Zhao
Enneng Yang
Yuting Liu
Jianzhe Zhao
G. Guo
Xingwei Wang
45
0
0
07 Apr 2025
Semantic-Enhanced Relational Metric Learning for Recommender Systems
Semantic-Enhanced Relational Metric Learning for Recommender Systems
Mingming Li
Fuqing Zhu
Feng Yuan
Songlin Hu
48
0
0
07 Jun 2024
Keyword-driven Retrieval-Augmented Large Language Models for Cold-start User Recommendations
Keyword-driven Retrieval-Augmented Large Language Models for Cold-start User Recommendations
Hai-Dang Kieu
Minh-Duc Nguyen
T. Nguyen
Dung D. Le
RALM
LRM
79
3
0
30 May 2024
Hypergraph Enhanced Knowledge Tree Prompt Learning for Next-Basket
  Recommendation
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
29
1
0
26 Dec 2023
On the Sweet Spot of Contrastive Views for Knowledge-enhanced
  Recommendation
On the Sweet Spot of Contrastive Views for Knowledge-enhanced Recommendation
Haibo Ye
Xinjie Li
Yuan Yao
Hanghang Tong
43
0
0
23 Sep 2023
CPMR: Context-Aware Incremental Sequential Recommendation with
  Pseudo-Multi-Task Learning
CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task Learning
Qingtian Bian
Jiaxing Xu
Hui Fang
Yiping Ke
24
7
0
09 Sep 2023
Knowledge Graph Self-Supervised Rationalization for Recommendation
Knowledge Graph Self-Supervised Rationalization for Recommendation
Yuhao Yang
Chao Huang
Lianghao Xia
Chunzhen Huang
32
88
0
06 Jul 2023
Could Small Language Models Serve as Recommenders? Towards Data-centric
  Cold-start Recommendations
Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendations
Xuansheng Wu
Huachi Zhou
Yucheng Shi
Wenlin Yao
Xiao Shi Huang
Ninghao Liu
LRM
37
8
0
29 Jun 2023
DsMtGCN: A Direction-sensitive Multi-task framework for Knowledge Graph
  Completion
DsMtGCN: A Direction-sensitive Multi-task framework for Knowledge Graph Completion
Jining Wang
Chuan Chen
Zibin Zheng
Yuren Zhou
33
1
0
17 Jun 2023
LogicRec: Recommendation with Users' Logical Requirements
LogicRec: Recommendation with Users' Logical Requirements
Zhenwei Tang
Griffin Floto
Armin Toroghi
Shichao Pei
Xiangliang Zhang
Scott Sanner
36
3
0
23 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning
A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju
Zheng Fang
Yiyang Gu
Zequn Liu
Qingqing Long
...
Jingyang Yuan
Yusheng Zhao
Yifan Wang
Xiao Luo
Ming Zhang
GNN
AI4TS
72
142
0
11 Apr 2023
Knowledge Graphs: Opportunities and Challenges
Knowledge Graphs: Opportunities and Challenges
Ciyuan Peng
Feng Xia
Mehdi Naseriparsa
Francesco Osborne
24
242
0
24 Mar 2023
Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey
  from Precision to Interpretability
Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey from Precision to Interpretability
Zhiqiang Zhong
A. Barkova
Davide Mottin
29
8
0
16 Feb 2023
Label-Efficient Self-Training for Attribute Extraction from
  Semi-Structured Web Documents
Label-Efficient Self-Training for Attribute Extraction from Semi-Structured Web Documents
Ritesh Sarkhel
Binxuan Huang
Colin Lockard
Prashant Shiralkar
27
2
0
27 Aug 2022
ProjB: An Improved Bilinear Biased ProjE model for Knowledge Graph
  Completion
ProjB: An Improved Bilinear Biased ProjE model for Knowledge Graph Completion
Mojtaba Moattari
S. Vahdati
F. Zulkernine
21
0
0
15 Aug 2022
FairSR: Fairness-aware Sequential Recommendation through Multi-Task
  Learning with Preference Graph Embeddings
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
A Multi-Strategy based Pre-Training Method for Cold-Start Recommendation
A Multi-Strategy based Pre-Training Method for Cold-Start Recommendation
Bowen Hao
Hongzhi Yin
Jing Zhang
Cuiping Li
Hong Chen
35
22
0
04 Dec 2021
Towards Robust Knowledge Graph Embedding via Multi-task Reinforcement
  Learning
Towards Robust Knowledge Graph Embedding via Multi-task Reinforcement Learning
Zhao Zhang
Fuzhen Zhuang
Hengshu Zhu
Chao Li
Hui Xiong
Qing He
Yongjun Xu
42
12
0
11 Nov 2021
Recommender systems based on graph embedding techniques: A comprehensive
  review
Recommender systems based on graph embedding techniques: A comprehensive review
Yue Deng
44
22
0
20 Sep 2021
From Alignment to Assignment: Frustratingly Simple Unsupervised Entity
  Alignment
From Alignment to Assignment: Frustratingly Simple Unsupervised Entity Alignment
Xin Mao
Wenting Wang
Yuanbin Wu
Man Lan
36
68
0
06 Sep 2021
Are Negative Samples Necessary in Entity Alignment? An Approach with
  High Performance, Scalability and Robustness
Are Negative Samples Necessary in Entity Alignment? An Approach with High Performance, Scalability and Robustness
Xin Mao
Wenting Wang
Yuanbin Wu
Man Lan
32
26
0
11 Aug 2021
Graph Learning based Recommender Systems: A Review
Graph Learning based Recommender Systems: A Review
Shoujin Wang
Liang Hu
Yan Wang
Xiangnan He
Quan.Z Sheng
M. Orgun
LongBing Cao
F. Ricci
Philip S. Yu
34
198
0
13 May 2021
Bias in Knowledge Graphs -- an Empirical Study with Movie Recommendation
  and Different Language Editions of DBpedia
Bias in Knowledge Graphs -- an Empirical Study with Movie Recommendation and Different Language Editions of DBpedia
M. Voit
Heiko Paulheim
37
11
0
03 May 2021
Personalized Entity Resolution with Dynamic Heterogeneous Knowledge
  Graph Representations
Personalized Entity Resolution with Dynamic Heterogeneous Knowledge Graph Representations
Ying Lin
H. Wang
Jiangning Chen
Tong Wang
Yue Liu
Heng Ji
Yang Liu
Premkumar Natarajan
26
10
0
06 Apr 2021
Simplified DOM Trees for Transferable Attribute Extraction from the Web
Simplified DOM Trees for Transferable Attribute Extraction from the Web
Yichao Zhou
Ying Sheng
N. Vo
Nick Edmonds
Sandeep Tata
127
28
0
07 Jan 2021
KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network
  for Traffic Forecasting
KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network for Traffic Forecasting
Jiawei Zhu
Xing Han
Hanhan Deng
Chao Tao
Ling Zhao
Pu Wang
Tao Lin
Haifeng Li
AI4TS
29
99
0
26 Nov 2020
Graph Neural Networks in Recommender Systems: A Survey
Graph Neural Networks in Recommender Systems: A Survey
Shiwen Wu
Fei Sun
Wentao Zhang
Xu Xie
Bin Cui
GNN
60
1,177
0
04 Nov 2020
Knowledge Graph semantic enhancement of input data for improving AI
Knowledge Graph semantic enhancement of input data for improving AI
Shreyansh P. Bhatt
A. Sheth
V. Shalin
Jinjin Zhao
11
20
0
10 May 2020
Neuro-symbolic Architectures for Context Understanding
Neuro-symbolic Architectures for Context Understanding
A. Oltramari
Jonathan M Francis
C. Henson
Kaixin Ma
Ruwan Wickramarachchi
NAI
AI4CE
25
28
0
09 Mar 2020
An Evaluation of Knowledge Graph Embeddings for Autonomous Driving Data:
  Experience and Practice
An Evaluation of Knowledge Graph Embeddings for Autonomous Driving Data: Experience and Practice
Ruwan Wickramarachchi
C. Henson
A. Sheth
16
19
0
29 Feb 2020
A Survey on Knowledge Graph-Based Recommender Systems
A Survey on Knowledge Graph-Based Recommender Systems
Qingyu Guo
Fuzhen Zhuang
Chuan Qin
Hengshu Zhu
Xing Xie
Hui Xiong
Qing He
38
727
0
28 Feb 2020
Relation Adversarial Network for Low Resource Knowledge Graph Completion
Relation Adversarial Network for Low Resource Knowledge Graph Completion
Ningyu Zhang
Shumin Deng
Zhanlin Sun
Jiaoayan Chen
Wei Zhang
Huajun Chen
17
71
0
08 Nov 2019
Large-scale Causal Approaches to Debiasing Post-click Conversion Rate
  Estimation with Multi-task Learning
Large-scale Causal Approaches to Debiasing Post-click Conversion Rate Estimation with Multi-task Learning
Wenhao Zhang
Wentian Bao
Xiao-Yang Liu
Keping Yang
Quan Lin
Hong Wen
Ramin Ramezani
CML
29
104
0
16 Oct 2019
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