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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
Generalization Analysis of Message Passing Neural Networks on Large
  Random Graphs
Generalization Analysis of Message Passing Neural Networks on Large Random Graphs
Sohir Maskey
Ron Levie
Yunseok Lee
Gitta Kutyniok
GNN
80
54
0
01 Feb 2022
SUGAR: Efficient Subgraph-level Training via Resource-aware Graph
  Partitioning
SUGAR: Efficient Subgraph-level Training via Resource-aware Graph Partitioning
Zihui Xue
Yuedong Yang
Mengtian Yang
R. Marculescu
19
8
0
31 Jan 2022
Graph Neural Networks with Dynamic and Static Representations for Social
  Recommendation
Graph Neural Networks with Dynamic and Static Representations for Social Recommendation
Junfa Lin
Siyuan Chen
Jiahai Wang
34
21
0
26 Jan 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
Link Prediction with Contextualized Self-Supervision
Link Prediction with Contextualized Self-Supervision
Daokun Zhang
Jie Yin
Philip S. Yu
19
6
0
25 Jan 2022
Hardware/Software Co-Programmable Framework for Computational SSDs to
  Accelerate Deep Learning Service on Large-Scale Graphs
Hardware/Software Co-Programmable Framework for Computational SSDs to Accelerate Deep Learning Service on Large-Scale Graphs
Miryeong Kwon
Donghyun Gouk
Sangwon Lee
Myoungsoo Jung
GNN
21
26
0
23 Jan 2022
Toward Enhanced Robustness in Unsupervised Graph Representation
  Learning: A Graph Information Bottleneck Perspective
Toward Enhanced Robustness in Unsupervised Graph Representation Learning: A Graph Information Bottleneck Perspective
Jihong Wang
Minnan Luo
Jundong Li
Ziqi Liu
Jun Zhou
Qinghua Zheng
AAML
20
5
0
21 Jan 2022
LOSTIN: Logic Optimization via Spatio-Temporal Information with Hybrid
  Graph Models
LOSTIN: Logic Optimization via Spatio-Temporal Information with Hybrid Graph Models
Nan Wu
Jiwon Lee
Yuan Xie
Cong Hao
32
18
0
20 Jan 2022
Recommendation Unlearning
Recommendation Unlearning
C. L. Philip Chen
Fei Sun
M. Zhang
Bolin Ding
MU
36
85
0
18 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
REST: Debiased Social Recommendation via Reconstructing Exposure
  Strategies
REST: Debiased Social Recommendation via Reconstructing Exposure Strategies
Ruichu Cai
Fengzhu Wu
Zijian Li
Jie Qiao
Wei Chen
Yuexing Hao
Hao Gu
CML
OffRL
18
5
0
13 Jan 2022
Collaborative Reflection-Augmented Autoencoder Network for Recommender
  Systems
Collaborative Reflection-Augmented Autoencoder Network for Recommender Systems
Lianghao Xia
Chao Huang
Yong-mei Xu
Huance Xu
Xiang Li
Weiguo Zhang
HAI
25
10
0
10 Jan 2022
Attention-Based Recommendation On Graphs
Attention-Based Recommendation On Graphs
Taher Hekmatfar
Saman Haratizadeh
Parsa Razban
S. Goliaei
GNN
11
2
0
04 Jan 2022
Are we really making much progress? Revisiting, benchmarking, and
  refining heterogeneous graph neural networks
Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks
Qingsong Lv
Ming Ding
Qiang Liu
Yuxiang Chen
Wenzheng Feng
Siming He
Chang Zhou
Jianguo Jiang
Yuxiao Dong
Jie Tang
34
312
0
30 Dec 2021
Motif Graph Neural Network
Motif Graph Neural Network
Xuexin Chen
Ruichu Cai
Yuan Fang
Min-man Wu
Zijian Li
Zhifeng Hao
14
22
0
30 Dec 2021
HeteroQA: Learning towards Question-and-Answering through Multiple
  Information Sources via Heterogeneous Graph Modeling
HeteroQA: Learning towards Question-and-Answering through Multiple Information Sources via Heterogeneous Graph Modeling
Shen Gao
Yuchi Zhang
Yongliang Wang
Yang Dong
Xiuying Chen
Dongyan Zhao
Rui Yan
19
10
0
27 Dec 2021
An Adaptive Graph Pre-training Framework for Localized Collaborative
  Filtering
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering
Yiqi Wang
Chaozhuo Li
Zheng Liu
Mingzheng Li
Jiliang Tang
Xing Xie
Lei Chen
Philip S. Yu
28
23
0
14 Dec 2021
LUNAR: Unifying Local Outlier Detection Methods via Graph Neural
  Networks
LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks
Adam Goodge
Bryan Hooi
See Kiong Ng
Wee Siong Ng
14
104
0
10 Dec 2021
Contrastive Adaptive Propagation Graph Neural Networks for Efficient
  Graph Learning
Contrastive Adaptive Propagation Graph Neural Networks for Efficient Graph Learning
Jun Hu
Shengsheng Qian
Quan Fang
Changsheng Xu
GNN
16
0
0
02 Dec 2021
Node-Level Differentially Private Graph Neural Networks
Node-Level Differentially Private Graph Neural Networks
Ameya Daigavane
Gagan Madan
Aditya Sinha
Abhradeep Thakurta
Gaurav Aggarwal
Prateek Jain
33
54
0
23 Nov 2021
Network In Graph Neural Network
Network In Graph Neural Network
Xiang Song
Runjie Ma
Jiahang Li
Muhan Zhang
David Wipf
GNN
18
10
0
23 Nov 2021
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
Fully Linear Graph Convolutional Networks for Semi-Supervised Learning
  and Clustering
Fully Linear Graph Convolutional Networks for Semi-Supervised Learning and Clustering
Yaoming Cai
Zijia Zhang
Z. Cai
Xiaobo Liu
Yao Ding
Pedram Ghamisi
FedML
24
1
0
15 Nov 2021
TEA: A Sequential Recommendation Framework via Temporally Evolving
  Aggregations
TEA: A Sequential Recommendation Framework via Temporally Evolving Aggregations
Zijian Li
Ruichu Cai
Fengzhu Wu
Siliang Zhang
Hao Gu
Yuexing Hao
Yuguang Yan
34
4
0
14 Nov 2021
Graph Neural Network Training with Data Tiering
Graph Neural Network Training with Data Tiering
S. Min
Kun Wu
Mert Hidayetoğlu
Jinjun Xiong
Xiang Song
Wen-mei W. Hwu
GNN
17
15
0
10 Nov 2021
Wasserstein Adversarially Regularized Graph Autoencoder
Wasserstein Adversarially Regularized Graph Autoencoder
Huidong Liang
Junbin Gao
GNN
GAN
19
3
0
09 Nov 2021
GraphSearchNet: Enhancing GNNs via Capturing Global Dependencies for
  Semantic Code Search
GraphSearchNet: Enhancing GNNs via Capturing Global Dependencies for Semantic Code Search
Shangqing Liu
Xiaofei Xie
J. Siow
L. Ma
Guozhu Meng
Yang Liu
GNN
23
53
0
04 Nov 2021
Deconvolutional Networks on Graph Data
Deconvolutional Networks on Graph Data
Jia Li
Jiajin Li
Yang Liu
Jianwei Yu
Yueting Li
Hongtao Cheng
GNN
18
21
0
29 Oct 2021
CAP: Co-Adversarial Perturbation on Weights and Features for Improving
  Generalization of Graph Neural Networks
CAP: Co-Adversarial Perturbation on Weights and Features for Improving Generalization of Graph Neural Networks
Hao Xue
Kaixiong Zhou
Tianlong Chen
Kai Guo
Xia Hu
Yi Chang
Xin Wang
AAML
27
15
0
28 Oct 2021
Heterogeneous Temporal Graph Neural Network
Heterogeneous Temporal Graph Neural Network
Yujie Fan
Mingxuan Ju
Chuxu Zhang
Liang Zhao
Yanfang Ye
22
36
0
26 Oct 2021
Gophormer: Ego-Graph Transformer for Node Classification
Gophormer: Ego-Graph Transformer for Node Classification
Jianan Zhao
Chaozhuo Li
Qian Wen
Yiqi Wang
Yuming Liu
Hao Sun
Xing Xie
Yanfang Ye
22
76
0
25 Oct 2021
Network Representation Learning: From Preprocessing, Feature Extraction
  to Node Embedding
Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding
Jingya Zhou
Ling Liu
Wenqi Wei
Jianxi Fan
AI4TS
35
73
0
14 Oct 2021
Graph Condensation for Graph Neural Networks
Graph Condensation for Graph Neural Networks
Wei Jin
Lingxiao Zhao
Shichang Zhang
Yozen Liu
Jiliang Tang
Neil Shah
DD
AI4CE
27
147
0
14 Oct 2021
Stability of Neural Networks on Manifolds to Relative Perturbations
Stability of Neural Networks on Manifolds to Relative Perturbations
Zhiyang Wang
Luana Ruiz
Alejandro Ribeiro
21
13
0
10 Oct 2021
Global Context Enhanced Social Recommendation with Hierarchical Graph
  Neural Networks
Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks
Huance Xu
Chao Huang
Yong-mei Xu
Lianghao Xia
Hao Xing
Dawei Yin
16
33
0
08 Oct 2021
Multiplex Behavioral Relation Learning for Recommendation via Memory
  Augmented Transformer Network
Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network
Lianghao Xia
Chao Huang
Yong-mei Xu
Peng Dai
Bo Zhang
Liefeng Bo
MLAU
97
122
0
08 Oct 2021
Knowledge-Enhanced Hierarchical Graph Transformer Network for
  Multi-Behavior Recommendation
Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation
Lianghao Xia
Chao Huang
Yong-mei Xu
Peng Dai
Xiyue Zhang
Hongsheng Yang
J. Pei
Liefeng Bo
119
192
0
08 Oct 2021
Knowledge-aware Coupled Graph Neural Network for Social Recommendation
Knowledge-aware Coupled Graph Neural Network for Social Recommendation
Chao Huang
Huance Xu
Yong-mei Xu
Peng Dai
Lianghao Xia
Mengyin Lu
Liefeng Bo
Hao Xing
Xiaoping Lai
Yanfang Ye
27
169
0
08 Oct 2021
Social Recommendation with Self-Supervised Metagraph Informax Network
Social Recommendation with Self-Supervised Metagraph Informax Network
Xiaoling Long
Chao Huang
Yong-mei Xu
Huance Xu
Peng Dai
Lianghao Xia
Liefeng Bo
50
86
0
08 Oct 2021
From Stars to Subgraphs: Uplifting Any GNN with Local Structure
  Awareness
From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness
Lingxiao Zhao
Wei Jin
L. Akoglu
Neil Shah
GNN
24
160
0
07 Oct 2021
Recent Advances in Heterogeneous Relation Learning for Recommendation
Recent Advances in Heterogeneous Relation Learning for Recommendation
Chao Huang
68
32
0
07 Oct 2021
Equivariant Subgraph Aggregation Networks
Equivariant Subgraph Aggregation Networks
Beatrice Bevilacqua
Fabrizio Frasca
Derek Lim
Balasubramaniam Srinivasan
Chen Cai
G. Balamurugan
M. Bronstein
Haggai Maron
53
175
0
06 Oct 2021
Extracting Attentive Social Temporal Excitation for Sequential
  Recommendation
Extracting Attentive Social Temporal Excitation for Sequential Recommendation
Yunzhe Li
Yue Ding
Bo Chen
Xin Xin
Yule Wang
Yuxiang Shi
Ruiming Tang
Dong Wang
AI4TS
11
15
0
28 Sep 2021
Learning Dual Dynamic Representations on Time-Sliced User-Item
  Interaction Graphs for Sequential Recommendation
Learning Dual Dynamic Representations on Time-Sliced User-Item Interaction Graphs for Sequential Recommendation
Zeyuan Chen
Wei Zhang
Junchi Yan
Gang Wang
Jianyong Wang
AI4TS
37
24
0
24 Sep 2021
Context-aware Tree-based Deep Model for Recommender Systems
Context-aware Tree-based Deep Model for Recommender Systems
Daqing Chang
Jintao Liu
Xinhang Li
Han Li
Ziru Xu
Xiaoqiang Zhu
17
3
0
22 Sep 2021
AutoGCL: Automated Graph Contrastive Learning via Learnable View
  Generators
AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators
Yihang Yin
Qingzhong Wang
Siyu Huang
Haoyi Xiong
Xiang Zhang
47
143
0
21 Sep 2021
Releasing Graph Neural Networks with Differential Privacy Guarantees
Releasing Graph Neural Networks with Differential Privacy Guarantees
Iyiola E. Olatunji
Thorben Funke
Megha Khosla
32
44
0
18 Sep 2021
Program-to-Circuit: Exploiting GNNs for Program Representation and
  Circuit Translation
Program-to-Circuit: Exploiting GNNs for Program Representation and Circuit Translation
Nan Wu
Huake He
Yuan Xie
Pan Li
Cong Hao
GNN
16
3
0
13 Sep 2021
Power to the Relational Inductive Bias: Graph Neural Networks in
  Electrical Power Grids
Power to the Relational Inductive Bias: Graph Neural Networks in Electrical Power Grids
Martin Ringsquandl
Houssem Sellami
Marcel Hildebrandt
Dagmar Beyer
S. Henselmeyer
Sebastian Weber
Mitchell Joblin
AI4CE
6
17
0
08 Sep 2021
HMSG: Heterogeneous Graph Neural Network based on Metapath Subgraph
  Learning
HMSG: Heterogeneous Graph Neural Network based on Metapath Subgraph Learning
Xinjun Cai
Jiaxing Shang
Fei Hao
Dajiang Liu
Linjiang Zheng
29
19
0
07 Sep 2021
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