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Graph Neural Networks for Social Recommendation

Graph Neural Networks for Social Recommendation

19 February 2019
Wenqi Fan
Yao Ma
Qing Li
Yuan He
Y. Zhao
Jiliang Tang
Dawei Yin
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Papers citing "Graph Neural Networks for Social Recommendation"

50 / 607 papers shown
Title
Interpreting and Unifying Graph Neural Networks with An Optimization
  Framework
Interpreting and Unifying Graph Neural Networks with An Optimization Framework
Meiqi Zhu
Xiao Wang
C. Shi
Houye Ji
Peng Cui
AI4CE
52
197
0
28 Jan 2021
Efficient Graph Deep Learning in TensorFlow with tf_geometric
Efficient Graph Deep Learning in TensorFlow with tf_geometric
Jun Hu
Shengsheng Qian
Quan Fang
Youze Wang
Quan Zhao
Huaiwen Zhang
Changsheng Xu
GNN
31
53
0
27 Jan 2021
Identity-aware Graph Neural Networks
Identity-aware Graph Neural Networks
Jiaxuan You
Jonathan M. Gomes-Selman
Rex Ying
J. Leskovec
16
249
0
25 Jan 2021
Graph Autoencoders with Deconvolutional Networks
Graph Autoencoders with Deconvolutional Networks
Jia Li
Tomas Yu
Da-Cheng Juan
Arjun Gopalan
Hong Cheng
Andrew Tomkins
GNN
16
7
0
22 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
25
115
0
16 Dec 2020
Self-Growing Spatial Graph Network for Context-Aware Pedestrian
  Trajectory Prediction
Self-Growing Spatial Graph Network for Context-Aware Pedestrian Trajectory Prediction
Sirin Haddad
S. Lam
GNN
14
8
0
11 Dec 2020
J-Recs: Principled and Scalable Recommendation Justification
J-Recs: Principled and Scalable Recommendation Justification
Namyong Park
Andrey Kan
Christos Faloutsos
Xin Luna Dong
17
5
0
11 Nov 2020
Attentive Social Recommendation: Towards User And Item Diversities
Attentive Social Recommendation: Towards User And Item Diversities
Dongsheng Luo
Yuchen Bian
Xiang Zhang
Jun Huan
20
4
0
09 Nov 2020
Parameterized Explainer for Graph Neural Network
Parameterized Explainer for Graph Neural Network
Dongsheng Luo
Wei Cheng
Dongkuan Xu
Wenchao Yu
Bo Zong
Haifeng Chen
Xiang Zhang
33
539
0
09 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
56
1,174
0
04 Nov 2020
Towards Scale-Invariant Graph-related Problem Solving by Iterative
  Homogeneous Graph Neural Networks
Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous Graph Neural Networks
Hao Tang
Zhiao Huang
Jiayuan Gu
Bao-Liang Lu
Hao Su
AI4CE
22
9
0
26 Oct 2020
Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task
  Correlation Information for Label Aggregation in Crowdsourcing
Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing
Hanlu Wu
Tengfei Ma
Lingfei Wu
S. Ji
FedML
6
11
0
25 Oct 2020
Understanding the Role of Intermediaries in Online Social E-commerce: An
  Exploratory Study of Beidian
Understanding the Role of Intermediaries in Online Social E-commerce: An Exploratory Study of Beidian
Zhilong Chen
Hancheng Cao
Fengli Xu
Mengjie Cheng
Tao Wang
Yong Li
9
29
0
16 Oct 2020
Hierarchical Text Interaction for Rating Prediction
Hierarchical Text Interaction for Rating Prediction
Jiahui Wen
Jingwei Ma
Hongkui Tu
Wei Yin
Jian Fang
24
6
0
15 Oct 2020
A DRL-based Multiagent Cooperative Control Framework for CAV Networks: a
  Graphic Convolution Q Network
A DRL-based Multiagent Cooperative Control Framework for CAV Networks: a Graphic Convolution Q Network
Jiqian Dong
Sikai Chen
P. Ha
Yujie Li
S. Labi
13
37
0
12 Oct 2020
Graph Convolutional Value Decomposition in Multi-Agent Reinforcement
  Learning
Graph Convolutional Value Decomposition in Multi-Agent Reinforcement Learning
Navid Naderializadeh
Fan Hung
S. Soleyman
D. Khosla
11
27
0
09 Oct 2020
A Light Heterogeneous Graph Collaborative Filtering Model using Textual
  Information
A Light Heterogeneous Graph Collaborative Filtering Model using Textual Information
Chaoyang Wang
Zhiqiang Guo
Guohui Li
Jianjun Li
Peng Pan
Ke Liu
13
9
0
04 Oct 2020
Computing Graph Neural Networks: A Survey from Algorithms to
  Accelerators
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators
S. Abadal
Akshay Jain
Robert Guirado
Jorge López-Alonso
Eduard Alarcón
GNN
27
225
0
30 Sep 2020
Learning Graph Normalization for Graph Neural Networks
Learning Graph Normalization for Graph Neural Networks
Yihao Chen
Xin Tang
Xianbiao Qi
Chun-Guang Li
Rong Xiao
AI4CE
11
50
0
24 Sep 2020
Hierarchical Message-Passing Graph Neural Networks
Hierarchical Message-Passing Graph Neural Networks
Zhiqiang Zhong
Cheng-Te Li
Jun Pang
27
46
0
08 Sep 2020
Graph Learning for Combinatorial Optimization: A Survey of
  State-of-the-Art
Graph Learning for Combinatorial Optimization: A Survey of State-of-the-Art
Yun Peng
Byron Choi
Jianliang Xu
19
5
0
26 Aug 2020
Embedding Ranking-Oriented Recommender System Graphs
Embedding Ranking-Oriented Recommender System Graphs
Taher Hekmatfar
Saman Haratizadeh
S. Goliaei
17
7
0
31 Jul 2020
Second-Order Pooling for Graph Neural Networks
Second-Order Pooling for Graph Neural Networks
Zhengyang Wang
Shuiwang Ji
GNN
19
80
0
20 Jul 2020
MetaConcept: Learn to Abstract via Concept Graph for Weakly-Supervised
  Few-Shot Learning
MetaConcept: Learn to Abstract via Concept Graph for Weakly-Supervised Few-Shot Learning
Baoquan Zhang
Ka-Cheong Leung
Yunming Ye
Xutao Li
18
1
0
05 Jul 2020
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks
Xiao Wang
Meiqi Zhu
Deyu Bo
Peng Cui
C. Shi
J. Pei
BDL
22
480
0
05 Jul 2020
A Novel Higher-order Weisfeiler-Lehman Graph Convolution
A Novel Higher-order Weisfeiler-Lehman Graph Convolution
C. Damke
Vitali M. Melnikov
Eyke Hüllermeier
GNN
4
14
0
01 Jul 2020
AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP
  Investigation in the Recommender System
AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP Investigation in the Recommender System
Pengyu Zhao
Kecheng Xiao
Yuanxing Zhang
Kaigui Bian
Wei Yan
19
16
0
10 Jun 2020
Graph-Aware Transformer: Is Attention All Graphs Need?
Graph-Aware Transformer: Is Attention All Graphs Need?
Sang-yong Yoo
Young-Seok Kim
Kang Lee
Kuhwan Jeong
Junhwi Choi
Hoshik Lee
Y. S. Choi
GNN
19
11
0
09 Jun 2020
Single-Layer Graph Convolutional Networks For Recommendation
Single-Layer Graph Convolutional Networks For Recommendation
Yue Xu
Hao Chen
Zengde Deng
Junxiong Zhu
Yanghua Li
Peng He
Wen-yuan Gao
Wenjun Xu
GNN
11
1
0
07 Jun 2020
Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory
  Prediction
Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction
Cunjun Yu
Xiao Ma
Jiawei Ren
Haiyu Zhao
Shuai Yi
26
459
0
18 May 2020
Attacking Black-box Recommendations via Copying Cross-domain User
  Profiles
Attacking Black-box Recommendations via Copying Cross-domain User Profiles
Wenqi Fan
Tyler Derr
Xiangyu Zhao
Yao Ma
Hui Liu
Jianping Wang
Jiliang Tang
Qing Li
MLAU
AAML
14
76
0
17 May 2020
A Robust Hierarchical Graph Convolutional Network Model for
  Collaborative Filtering
A Robust Hierarchical Graph Convolutional Network Model for Collaborative Filtering
Shaowen Peng
Tsunenori Mine
18
8
0
30 Apr 2020
Recommendation system using a deep learning and graph analysis approach
Recommendation system using a deep learning and graph analysis approach
Mahdi Kherad
Amir Jalaly Bidgoly
GNN
6
15
0
17 Apr 2020
Toward Subgraph-Guided Knowledge Graph Question Generation with Graph
  Neural Networks
Toward Subgraph-Guided Knowledge Graph Question Generation with Graph Neural Networks
Yu Chen
Lingfei Wu
Mohammed J. Zaki
19
49
0
13 Apr 2020
Survey for Trust-aware Recommender Systems: A Deep Learning Perspective
Survey for Trust-aware Recommender Systems: A Deep Learning Perspective
Manqing Dong
Feng Yuan
Lina Yao
Xianzhi Wang
Xiwei Xu
Liming Zhu
17
8
0
08 Apr 2020
Graph Sequential Network for Reasoning over Sequences
Graph Sequential Network for Reasoning over Sequences
Ming Tu
Jing Huang
Xiaodong He
Bowen Zhou
GNN
11
7
0
04 Apr 2020
Deep Learning on Knowledge Graph for Recommender System: A Survey
Deep Learning on Knowledge Graph for Recommender System: A Survey
Y. Gao
Yifan Li
Yu Lin
Hang Gao
Latifur Khan
20
48
0
25 Mar 2020
A Survey on The Expressive Power of Graph Neural Networks
A Survey on The Expressive Power of Graph Neural Networks
Ryoma Sato
184
172
0
09 Mar 2020
Learning to Hash with Graph Neural Networks for Recommender Systems
Learning to Hash with Graph Neural Networks for Recommender Systems
Qiaoyu Tan
Ninghao Liu
Xing Zhao
Hongxia Yang
Jingren Zhou
Xia Hu
18
94
0
04 Mar 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
24
727
0
28 Feb 2020
Syndrome-aware Herb Recommendation with Multi-Graph Convolution Network
Syndrome-aware Herb Recommendation with Multi-Graph Convolution Network
Yuanyuan Jin
Wei Zhang
Xiangnan He
Xinyu Wang
Xiao-le Wang
6
51
0
20 Feb 2020
Graph Convolution Machine for Context-aware Recommender System
Graph Convolution Machine for Context-aware Recommender System
Jiancan Wu
Xiangnan He
Xiang Wang
Qifan Wang
Weijia Chen
Jianxun Lian
Xing Xie
GNN
9
70
0
30 Jan 2020
Solving Cold Start Problem in Recommendation with Attribute Graph Neural
  Networks
Solving Cold Start Problem in Recommendation with Attribute Graph Neural Networks
T. Qian
Yile Liang
Qing Li
CML
14
10
0
28 Dec 2019
Hyperbolic Graph Attention Network
Hyperbolic Graph Attention Network
Yiding Zhang
Xiao Wang
Xunqiang Jiang
C. Shi
Yanfang Ye
GNN
19
129
0
06 Dec 2019
Order Matters at Fanatics Recommending Sequentially Ordered Products by
  LSTM Embedded with Word2Vec
Order Matters at Fanatics Recommending Sequentially Ordered Products by LSTM Embedded with Word2Vec
Jing Pan
Weian Sheng
Santanu S. Dey
6
1
0
22 Nov 2019
Effective Stabilized Self-Training on Few-Labeled Graph Data
Effective Stabilized Self-Training on Few-Labeled Graph Data
Ziang Zhou
Jieming Shi
Shengzhong Zhang
Zengfeng Huang
Qing Li
23
12
0
07 Oct 2019
Dynamic Embedding on Textual Networks via a Gaussian Process
Dynamic Embedding on Textual Networks via a Gaussian Process
Pengyu Cheng
Yitong Li
D. Ponsa
Liqun Cheng
David Carlson
Gary R. Bradski
14
10
0
05 Oct 2019
Graph Transfer Learning via Adversarial Domain Adaptation with Graph
  Convolution
Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution
Quanyu Dai
Xiao-Ming Wu
Jiaren Xiao
Xiao Shen
Dan Wang
OOD
23
84
0
04 Sep 2019
Propagate-Selector: Detecting Supporting Sentences for Question
  Answering via Graph Neural Networks
Propagate-Selector: Detecting Supporting Sentences for Question Answering via Graph Neural Networks
Seunghyun Yoon
Franck Dernoncourt
Doo Soon Kim
Trung H. Bui
Kyomin Jung
16
3
0
24 Aug 2019
Transferring Robustness for Graph Neural Network Against Poisoning
  Attacks
Transferring Robustness for Graph Neural Network Against Poisoning Attacks
Xianfeng Tang
Yandong Li
Yiwei Sun
Huaxiu Yao
P. Mitra
Suhang Wang
OOD
AAML
22
181
0
20 Aug 2019
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