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Dual Graph Attention Networks for Deep Latent Representation of
  Multifaceted Social Effects in Recommender Systems

Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems

25 March 2019
Qitian Wu
Hengrui Zhang
Xiaofeng Gao
Peng He
Paul Weng
Han Gao
Guihai Chen
    OffRL
    CML
ArXivPDFHTML

Papers citing "Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems"

20 / 20 papers shown
Title
Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace
  Approach
Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach
Keke Huang
Wencai Cao
Hoang Ta
Xiaokui Xiao
Pietro Lió
41
3
0
12 Mar 2024
Graph Out-of-Distribution Generalization via Causal Intervention
Graph Out-of-Distribution Generalization via Causal Intervention
Qitian Wu
Fan Nie
Chenxiao Yang
Tianyi Bao
Junchi Yan
OODD
OOD
AI4CE
35
18
0
18 Feb 2024
UOEP: User-Oriented Exploration Policy for Enhancing Long-Term User
  Experiences in Recommender Systems
UOEP: User-Oriented Exploration Policy for Enhancing Long-Term User Experiences in Recommender Systems
Changshuo Zhang
Sirui Chen
Xiao Zhang
Sunhao Dai
Weijie Yu
Jun Xu
OffRL
33
1
0
17 Jan 2024
GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint
GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint
Paiheng Xu
Yuhang Zhou
Bang An
Wei Ai
Furong Huang
22
6
0
25 May 2023
Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci
  Curvature
Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature
K. Nguyen
Hieu Nong
T. Nguyen
Nhat Ho
Khuong N. Nguyen
Vinh Phu Nguyen
27
62
0
28 Nov 2022
FedGRec: Federated Graph Recommender System with Lazy Update of Latent
  Embeddings
FedGRec: Federated Graph Recommender System with Lazy Update of Latent Embeddings
Junyi Li
Heng-Chiao Huang
FedML
21
6
0
25 Oct 2022
Flattened Graph Convolutional Networks For Recommendation
Flattened Graph Convolutional Networks For Recommendation
Yue Xu
Hao Chen
Zengde Deng
Yuan-Qi Bei
Feiran Huang
BDL
GNN
13
1
0
25 Sep 2022
Disentangled Contrastive Learning for Social Recommendation
Disentangled Contrastive Learning for Social Recommendation
Jiahao Wu
Wenqi Fan
Jingfan Chen
Shengcai Liu
Qing Li
Ke Tang
26
67
0
18 Aug 2022
Modeling the Social Influence of COVID-19 via Personalized Propagation
  with Deep Learning
Modeling the Social Influence of COVID-19 via Personalized Propagation with Deep Learning
Yufei Liu
Jie Cao
D. Pi
GNN
13
3
0
26 Jul 2022
Neighbor Enhanced Graph Convolutional Networks for Node Classification
  and Recommendation
Neighbor Enhanced Graph Convolutional Networks for Node Classification and Recommendation
Hao Chen
Zhong Huang
Yue Xu
Zengde Deng
Feiran Huang
Peng He
Zhoujun Li
GNN
11
50
0
30 Mar 2022
Neighbour Interaction based Click-Through Rate Prediction via
  Graph-masked Transformer
Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer
Erxue Min
Yu Rong
Tingyang Xu
Yatao Bian
P. Zhao
Junzhou Huang
Da Luo
Kangyi Lin
Sophia Ananiadou
34
32
0
25 Jan 2022
Doing More with Less: Overcoming Data Scarcity for POI Recommendation
  via Cross-Region Transfer
Doing More with Less: Overcoming Data Scarcity for POI Recommendation via Cross-Region Transfer
Vinayak Gupta
Srikanta J. Bedathur
33
19
0
16 Jan 2022
Federated Social Recommendation with Graph Neural Network
Federated Social Recommendation with Graph Neural Network
Zhiwei Liu
Liangwei Yang
Ziwei Fan
Hao Peng
Philip S. Yu
FedML
21
151
0
21 Nov 2021
Towards Open-World Feature Extrapolation: An Inductive Graph Learning
  Approach
Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach
Qitian Wu
Chenxiao Yang
Junchi Yan
19
32
0
09 Oct 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
11
34
0
22 Jul 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
27
20
0
07 Jun 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
8
47
0
16 Mar 2021
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
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
Graph Neural Networks: A Review of Methods and Applications
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CE
GNN
28
5,397
0
20 Dec 2018
1