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Neural Graph Collaborative Filtering

Neural Graph Collaborative Filtering

20 May 2019
Xiang Wang
Xiangnan He
Meng Wang
Fuli Feng
Tat-Seng Chua
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Papers citing "Neural Graph Collaborative Filtering"

36 / 186 papers shown
Title
A Behavior-aware Graph Convolution Network Model for Video
  Recommendation
A Behavior-aware Graph Convolution Network Model for Video Recommendation
Wei Zhuo
Kunchi Liu
Taofeng Xue
Beihong Jin
Beibei Li
Xinzhou Dong
He Chen
Wenhai Pan
Xuejian Zhang
Shuo Zhou
GNN
19
2
0
27 Jun 2021
Leveraging Tripartite Interaction Information from Live Stream
  E-Commerce for Improving Product Recommendation
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
41
20
0
07 Jun 2021
RevCore: Review-augmented Conversational Recommendation
RevCore: Review-augmented Conversational Recommendation
Yu Lu
Junwei Bao
Yan Song
Zichen Ma
Shuguang Cui
Youzheng Wu
Xiaodong He
35
74
0
02 Jun 2021
Privileged Graph Distillation for Cold Start Recommendation
Privileged Graph Distillation for Cold Start Recommendation
Shuai Wang
Kun Zhang
Le Wu
Haiping Ma
Richang Hong
Meng Wang
12
28
0
31 May 2021
Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback
  based Recommendation
Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation
Lei Chen
Le Wu
Kun Zhang
Richang Hong
Meng Wang
BDL
CML
15
16
0
16 May 2021
Scalable Personalised Item Ranking through Parametric Density Estimation
Scalable Personalised Item Ranking through Parametric Density Estimation
Riku Togashi
Masahiro Kato
Mayu Otani
T. Sakai
Shiníchi Satoh
38
0
0
11 May 2021
Neural Graph Matching based Collaborative Filtering
Neural Graph Matching based Collaborative Filtering
Yixin Su
Rui Zhang
S. Erfani
Junhao Gan
32
46
0
10 May 2021
Multi-target prediction for dummies using two-branch neural networks
Multi-target prediction for dummies using two-branch neural networks
Dimitrios Iliadis
B. De Baets
Willem Waegeman
17
9
0
19 Apr 2021
Deep Learning-based Online Alternative Product Recommendations at Scale
Deep Learning-based Online Alternative Product Recommendations at Scale
Mingming Guo
Nian Yan
Xiquan Cui
San He Wu
Unaiza Ahsan
Rebecca West
Khalifeh Al Jadda
21
7
0
15 Apr 2021
Contextual HyperNetworks for Novel Feature Adaptation
Contextual HyperNetworks for Novel Feature Adaptation
A. Lamb
Evgeny S. Saveliev
Yingzhen Li
Sebastian Tschiatschek
Camilla Longden
Simon Woodhead
José Miguel Hernández-Lobato
Richard Turner
Pashmina Cameron
Cheng Zhang
OOD
20
6
0
12 Apr 2021
Dual Side Deep Context-aware Modulation for Social Recommendation
Dual Side Deep Context-aware Modulation for Social Recommendation
Bairan Fu
Wenming Zhang
Guangneng Hu
Xinyu Dai
Shujian Huang
Jiajun Chen
22
47
0
16 Mar 2021
History-Augmented Collaborative Filtering for Financial Recommendations
History-Augmented Collaborative Filtering for Financial Recommendations
Baptiste Barreau
Laurent Carlier
AI4TS
15
10
0
26 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
90
414
0
14 Feb 2021
Probabilistic Metric Learning with Adaptive Margin for Top-K
  Recommendation
Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation
Chen Ma
Liheng Ma
Yingxue Zhang
Ruiming Tang
Xue Liu
Mark J. Coates
53
49
0
13 Jan 2021
Dynamic Graph Collaborative Filtering
Dynamic Graph Collaborative Filtering
Xiaohan Li
Mengqi Zhang
Shu Wu
Zheng Liu
Liang Wang
Philip S. Yu
103
70
0
08 Jan 2021
Bipartite Graph Embedding via Mutual Information Maximization
Bipartite Graph Embedding via Mutual Information Maximization
Jiangxia Cao
Xixun Lin
Shu Guo
Luchen Liu
Tingwen Liu
Bin Wang
80
110
0
10 Dec 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
Tengjiao Wang
GNN
58
1,175
0
04 Nov 2020
Self-supervised Graph Learning for Recommendation
Self-supervised Graph Learning for Recommendation
Jiancan Wu
Xiang Wang
Fuli Feng
Xiangnan He
Liang Chen
Jianxun Lian
Xing Xie
SSL
16
1,119
0
21 Oct 2020
Hierarchical Text Interaction for Rating Prediction
Hierarchical Text Interaction for Rating Prediction
Jiahui Wen
Jingwei Ma
Hongkui Tu
Wei Yin
Jian Fang
27
6
0
15 Oct 2020
Simplify and Robustify Negative Sampling for Implicit Collaborative
  Filtering
Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering
Jingtao Ding
Yuhan Quan
Quanming Yao
Yong Li
Depeng Jin
16
97
0
07 Sep 2020
Quaternion-Based Self-Attentive Long Short-Term User Preference Encoding
  for Recommendation
Quaternion-Based Self-Attentive Long Short-Term User Preference Encoding for Recommendation
T. Tran
Di You
Kyumin Lee
31
13
0
31 Aug 2020
Simplification of Graph Convolutional Networks: A Matrix
  Factorization-based Perspective
Simplification of Graph Convolutional Networks: A Matrix Factorization-based Perspective
Qiang Liu
Haoli Zhang
Zhaocheng Liu
GNN
16
3
0
17 Jul 2020
Graph Convolutional Network for Recommendation with Low-pass
  Collaborative Filters
Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters
Wenhui Yu
Zheng Qin
GNN
24
92
0
28 Jun 2020
Joint Item Recommendation and Attribute Inference: An Adaptive Graph
  Convolutional Network Approach
Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach
Le Wu
Yonghui Yang
Kun Zhang
Richang Hong
Yanjie Fu
Meng Wang
GNN
11
101
0
25 May 2020
Seamlessly Unifying Attributes and Items: Conversational Recommendation
  for Cold-Start Users
Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-Start Users
Shijun Li
Wenqiang Lei
Qingyun Wu
Xiangnan He
Peng Jiang
Tat-Seng Chua
20
118
0
23 May 2020
Bundle Recommendation with Graph Convolutional Networks
Bundle Recommendation with Graph Convolutional Networks
Jianxin Chang
Chen Gao
Xiangnan He
Yong Li
Depeng Jin
GNN
16
103
0
07 May 2020
Graph Enhanced Representation Learning for News Recommendation
Graph Enhanced Representation Learning for News Recommendation
Suyu Ge
Chuhan Wu
Fangzhao Wu
Tao Qi
Yongfeng Huang
AI4TS
22
123
0
31 Mar 2020
HotelRec: a Novel Very Large-Scale Hotel Recommendation Dataset
HotelRec: a Novel Very Large-Scale Hotel Recommendation Dataset
Diego Antognini
Boi Faltings
DML
25
29
0
17 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
33
493
0
28 Jan 2020
BasConv: Aggregating Heterogeneous Interactions for Basket
  Recommendation with Graph Convolutional Neural Network
BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network
Zhiwei Liu
Mengting Wan
Stephen D. Guo
Kannan Achan
Philip S. Yu
26
68
0
14 Jan 2020
Learning Global and Local Consistent Representations for Unsupervised
  Image Retrieval via Deep Graph Diffusion Networks
Learning Global and Local Consistent Representations for Unsupervised Image Retrieval via Deep Graph Diffusion Networks
Zhiyong Dou
Haotian Cui
Lin Zhang
Bo Wang
DiffM
GNN
18
6
0
05 Jan 2020
Hierarchical Attentive Knowledge Graph Embedding for Personalized
  Recommendation
Hierarchical Attentive Knowledge Graph Embedding for Personalized Recommendation
Xiao Sha
Zhu Sun
Jie Zhang
36
63
0
18 Oct 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
32
1,790
0
20 May 2019
Graph Adversarial Training: Dynamically Regularizing Based on Graph
  Structure
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure
Fuli Feng
Xiangnan He
Jie Tang
Tat-Seng Chua
OOD
AAML
34
218
0
20 Feb 2019
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
279
1,944
0
09 Jun 2018
Neural Compatibility Modeling with Attentive Knowledge Distillation
Neural Compatibility Modeling with Attentive Knowledge Distillation
Xuemeng Song
Fuli Feng
Xianjing Han
Xin Yang
Wei Liu
Liqiang Nie
45
144
0
17 Apr 2018
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