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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
Yue Zhao
Jiliang Tang
Dawei Yin
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Papers citing "Graph Neural Networks for Social Recommendation"

50 / 608 papers shown
Title
Attentive Knowledge-aware Graph Convolutional Networks with
  Collaborative Guidance for Personalized Recommendation
Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation
Yankai Chen
Yaming Yang
Yujing Wang
Jing Bai
Xiangchen Song
Irwin King
34
56
0
05 Sep 2021
Heterogeneous Graph Neural Network with Multi-view Representation
  Learning
Heterogeneous Graph Neural Network with Multi-view Representation Learning
Zezhi Shao
Yongjun Xu
Wei Wei
Fei Wang
Zhao Zhang
Feida Zhu
22
20
0
31 Aug 2021
Adaptive Label Smoothing To Regularize Large-Scale Graph Training
Adaptive Label Smoothing To Regularize Large-Scale Graph Training
Kaixiong Zhou
Ninghao Liu
Fan Yang
Zirui Liu
Rui Chen
Li Li
Soo-Hyun Choi
Xia Hu
AI4CE
29
19
0
30 Aug 2021
Single Node Injection Attack against Graph Neural Networks
Single Node Injection Attack against Graph Neural Networks
Shuchang Tao
Qi Cao
Huawei Shen
Junjie Huang
Yunfan Wu
Xueqi Cheng
AAML
GNN
11
66
0
30 Aug 2021
Graph Attention MLP with Reliable Label Utilization
Graph Attention MLP with Reliable Label Utilization
Wentao Zhang
Ziqi Yin
Zeang Sheng
Wenbin Ouyang
Xiaosen Li
Yangyu Tao
Zhi-Xin Yang
Bin Cui
GNN
29
3
0
23 Aug 2021
SiReN: Sign-Aware Recommendation Using Graph Neural Networks
SiReN: Sign-Aware Recommendation Using Graph Neural Networks
Changwon Seo
Kyeong-Joong Jeong
Sungsu Lim
Won-Yong Shin
25
18
0
19 Aug 2021
Causal Incremental Graph Convolution for Recommender System Retraining
Causal Incremental Graph Convolution for Recommender System Retraining
Sihao Ding
Fuli Feng
Xiangnan He
Yong Liao
Jun Shi
Yongdong Zhang
CML
CLL
BDL
GNN
32
35
0
16 Aug 2021
Understanding Structural Vulnerability in Graph Convolutional Networks
Understanding Structural Vulnerability in Graph Convolutional Networks
Liang Chen
Jintang Li
Qibiao Peng
Yang Liu
Zibin Zheng
Carl Yang
AAML
21
58
0
13 Aug 2021
Graph Trend Filtering Networks for Recommendations
Graph Trend Filtering Networks for Recommendations
Wenqi Fan
Xiaorui Liu
Wei Jin
Xiangyu Zhao
Jiliang Tang
Qing Li
73
101
0
12 Aug 2021
Jointly Attacking Graph Neural Network and its Explanations
Jointly Attacking Graph Neural Network and its Explanations
Wenqi Fan
Wei Jin
Xiaorui Liu
Han Xu
Xianfeng Tang
Suhang Wang
Qing Li
Jiliang Tang
Jianping Wang
Charu C. Aggarwal
AAML
42
28
0
07 Aug 2021
Graph Attention Network For Microwave Imaging of Brain Anomaly
Ahmed Al-Saffar
L. Guo
A. Abbosh
6
1
0
04 Aug 2021
Evaluating Deep Graph Neural Networks
Evaluating Deep Graph Neural Networks
Wentao Zhang
Zeang Sheng
Yuezihan Jiang
Yikuan Xia
Jun Gao
Zhi-Xin Yang
Bin Cui
GNN
AI4CE
21
31
0
02 Aug 2021
Ready for Emerging Threats to Recommender Systems? A Graph
  Convolution-based Generative Shilling Attack
Ready for Emerging Threats to Recommender Systems? A Graph Convolution-based Generative Shilling Attack
Fan Wu
Min Gao
Junliang Yu
Zongwei Wang
Kecheng Liu
Wange Xu
AAML
17
34
0
22 Jul 2021
Bridging the Gap between Spatial and Spectral Domains: A Unified
  Framework for Graph Neural Networks
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks
Zhiqian Chen
Fanglan Chen
Lei Zhang
Taoran Ji
Kaiqun Fu
Liang Zhao
Feng Chen
Lingfei Wu
Charu C. Aggarwal
Chang-Tien Lu
38
18
0
21 Jul 2021
Adaptive Transfer Learning on Graph Neural Networks
Adaptive Transfer Learning on Graph Neural Networks
Xueting Han
Zhenhuan Huang
Bang An
Jing Bai
22
59
0
19 Jul 2021
Trustworthy AI: A Computational Perspective
Trustworthy AI: A Computational Perspective
Haochen Liu
Yiqi Wang
Wenqi Fan
Xiaorui Liu
Yaxin Li
Shaili Jain
Yunhao Liu
Anil K. Jain
Jiliang Tang
FaML
104
196
0
12 Jul 2021
Robust Counterfactual Explanations on Graph Neural Networks
Robust Counterfactual Explanations on Graph Neural Networks
Mohit Bajaj
Lingyang Chu
Zihui Xue
J. Pei
Lanjun Wang
P. C. Lam
Yong Zhang
OOD
40
96
0
08 Jul 2021
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks
Kaixiong Zhou
Xiao Shi Huang
Daochen Zha
Rui Chen
Li Li
Soo-Hyun Choi
Xia Hu
GNN
AI4CE
22
114
0
06 Jul 2021
Quantitative Evaluation of Explainable Graph Neural Networks for
  Molecular Property Prediction
Quantitative Evaluation of Explainable Graph Neural Networks for Molecular Property Prediction
Jiahua Rao
Shuangjia Zheng
Yuedong Yang
21
46
0
01 Jul 2021
Curvature Graph Neural Network
Curvature Graph Neural Network
Haifeng Li
Jun Cao
Jiawei Zhu
Yu Liu
Qing Zhu
Guohua Wu
18
49
0
30 Jun 2021
GraphConfRec: A Graph Neural Network-Based Conference Recommender System
GraphConfRec: A Graph Neural Network-Based Conference Recommender System
Andreea Iana
Heiko Paulheim
14
9
0
23 Jun 2021
Adversarial Attack on Graph Neural Networks as An Influence Maximization
  Problem
Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem
Jiaqi Ma
Junwei Deng
Qiaozhu Mei
AAML
GNN
11
33
0
21 Jun 2021
Self-supervised Incremental Deep Graph Learning for Ethereum Phishing
  Scam Detection
Self-supervised Incremental Deep Graph Learning for Ethereum Phishing Scam Detection
Shucheng Li
Fengyuan Xu
Runchuan Wang
Sheng Zhong
GNN
24
21
0
18 Jun 2021
Is Homophily a Necessity for Graph Neural Networks?
Is Homophily a Necessity for Graph Neural Networks?
Yao Ma
Xiaorui Liu
Neil Shah
Jiliang Tang
30
227
0
11 Jun 2021
Principled Hyperedge Prediction with Structural Spectral Features and
  Neural Networks
Principled Hyperedge Prediction with Structural Spectral Features and Neural Networks
Changlin Wan
Muhan Zhang
Weiyu Hao
Sha Cao
Pan Li
Chi Zhang
21
15
0
08 Jun 2021
Stability to Deformations of Manifold Filters and Manifold Neural
  Networks
Stability to Deformations of Manifold Filters and Manifold Neural Networks
Zhiyang Wang
Luana Ruiz
Alejandro Ribeiro
AAML
20
9
0
07 Jun 2021
Learning by Transference: Training Graph Neural Networks on Growing
  Graphs
Learning by Transference: Training Graph Neural Networks on Growing Graphs
J. Cerviño
Luana Ruiz
Alejandro Ribeiro
GNN
22
18
0
07 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
38
20
0
07 Jun 2021
Cross-Network Learning with Partially Aligned Graph Convolutional
  Networks
Cross-Network Learning with Partially Aligned Graph Convolutional Networks
Meng Jiang
GNN
19
12
0
03 Jun 2021
Private Hierarchical Clustering in Federated Networks
Private Hierarchical Clustering in Federated Networks
Aashish Kolluri
Teodora Baluta
Prateek Saxena
FedML
8
12
0
19 May 2021
Where are we in embedding spaces? A Comprehensive Analysis on Network
  Embedding Approaches for Recommender Systems
Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender Systems
Sixiao Zhang
Hongxu Chen
Xiao Ming
Li-zhen Cui
Hongzhi Yin
Guandong Xu
16
39
0
19 May 2021
Be Causal: De-biasing Social Network Confounding in Recommendation
Be Causal: De-biasing Social Network Confounding in Recommendation
Qian Li
Xiang-jian Wang
Guandong Xu
CML
17
55
0
17 May 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
Graph Feature Gating Networks
Graph Feature Gating Networks
Wei Jin
Xiaorui Liu
Yao Ma
Tyler Derr
Charu C. Aggarwal
Jiliang Tang
40
0
0
10 May 2021
Bermuda Triangles: GNNs Fail to Detect Simple Topological Structures
Bermuda Triangles: GNNs Fail to Detect Simple Topological Structures
A. Tolmachev
Akira Sakai
Masaru Todoriki
Koji Maruhashi
GNN
14
1
0
01 May 2021
A First Look: Towards Explainable TextVQA Models via Visual and Textual
  Explanations
A First Look: Towards Explainable TextVQA Models via Visual and Textual Explanations
Varun Nagaraj Rao
Xingjian Zhen
K. Hovsepian
Mingwei Shen
29
17
0
29 Apr 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
Anton van den Hengel
Meng Wang
HAI
26
283
0
27 Apr 2021
AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter
AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter
Yushun Dong
Kaize Ding
B. Jalaeian
Shuiwang Ji
Jundong Li
64
60
0
26 Apr 2021
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural
  Networks
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks
Hao Peng
Ruitong Zhang
Yingtong Dou
Renyu Yang
Jingyi Zhang
Philip S. Yu
28
115
0
16 Apr 2021
BlockGNN: Towards Efficient GNN Acceleration Using Block-Circulant
  Weight Matrices
BlockGNN: Towards Efficient GNN Acceleration Using Block-Circulant Weight Matrices
Zhe Zhou
Bizhao Shi
Zhe Zhang
Yijin Guan
Guangyu Sun
Guojie Luo
GNN
36
32
0
13 Apr 2021
Which Hyperparameters to Optimise? An Investigation of Evolutionary
  Hyperparameter Optimisation in Graph Neural Network For Molecular Property
  Prediction
Which Hyperparameters to Optimise? An Investigation of Evolutionary Hyperparameter Optimisation in Graph Neural Network For Molecular Property Prediction
Yingfang Yuan
Wenjun Wang
Wei Pang
8
7
0
13 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
19
47
0
16 Mar 2021
Deep Dynamic Neural Network to trade-off between Accuracy and Diversity
  in a News Recommender System
Deep Dynamic Neural Network to trade-off between Accuracy and Diversity in a News Recommender System
Shaina Raza
Chen Ding
16
6
0
15 Mar 2021
Understanding the Design-Space of Sparse/Dense Multiphase GNN dataflows
  on Spatial Accelerators
Understanding the Design-Space of Sparse/Dense Multiphase GNN dataflows on Spatial Accelerators
Raveesh Garg
Eric Qin
Francisco Munoz-Martínez
Robert Guirado
Akshay Jain
...
José L. Abellán
M. Acacio
Eduard Alarcón
S. Rajamanickam
T. Krishna
GNN
11
18
0
14 Mar 2021
Graph Convolutional Embeddings for Recommender Systems
Graph Convolutional Embeddings for Recommender Systems
P. G. Duran
Alexandros Karatzoglou
Jordi Vitrià
Xin Xin
Ioannis Arapakis
GNN
AI4TS
20
11
0
05 Mar 2021
IACN: Influence-aware and Attention-based Co-evolutionary Network for
  Recommendation
IACN: Influence-aware and Attention-based Co-evolutionary Network for Recommendation
Shalini Pandey
George Karypis
Jaideep Srivastava
GNN
12
4
0
04 Mar 2021
CogDL: A Comprehensive Library for Graph Deep Learning
CogDL: A Comprehensive Library for Graph Deep Learning
Yukuo Cen
Zhenyu Hou
Yan Wang
Qibin Chen
Yi Luo
...
Guohao Dai
Yu Wang
Chang Zhou
Hongxia Yang
Jie Tang
GNN
AI4CE
19
16
0
01 Mar 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
35
289
0
27 Feb 2021
Sparse-Interest Network for Sequential Recommendation
Sparse-Interest Network for Sequential Recommendation
Qiaoyu Tan
Jianwei Zhang
Jiangchao Yao
Ninghao Liu
Jingren Zhou
Hongxia Yang
Xia Hu
90
130
0
18 Feb 2021
Few-Shot Graph Learning for Molecular Property Prediction
Few-Shot Graph Learning for Molecular Property Prediction
Zhichun Guo
Chuxu Zhang
W. Yu
John E. Herr
Olaf Wiest
Meng Jiang
Nitesh V. Chawla
AI4CE
116
169
0
16 Feb 2021
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