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Joint Item Recommendation and Attribute Inference: An Adaptive Graph
  Convolutional Network Approach

Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach

25 May 2020
Le Wu
Yonghui Yang
Kun Zhang
Richang Hong
Yanjie Fu
Meng Wang
    GNN
ArXivPDFHTML

Papers citing "Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach"

24 / 24 papers shown
Title
Disentangling and Generating Modalities for Recommendation in Missing Modality Scenarios
Disentangling and Generating Modalities for Recommendation in Missing Modality Scenarios
Jiwan Kim
Hongseok Kang
Sein Kim
Kibum Kim
Chanyoung Park
20
0
0
23 Apr 2025
RAID: An In-Training Defense against Attribute Inference Attacks in Recommender Systems
RAID: An In-Training Defense against Attribute Inference Attacks in Recommender Systems
Xiaohua Feng
Yuyuan Li
Fengyuan Yu
Ke Xiong
Junjie Fang
L. Zhang
Tianyu Du
Chaochao Chen
AAML
32
0
0
15 Apr 2025
A Geometric Approach to Personalized Recommendation with Set-Theoretic Constraints Using Box Embeddings
A Geometric Approach to Personalized Recommendation with Set-Theoretic Constraints Using Box Embeddings
S. Dasgupta
Michael Boratko
Andrew McCallum
CML
45
0
0
15 Feb 2025
Understanding and Mitigating Membership Inference Risks of Neural Ordinary Differential Equations
Understanding and Mitigating Membership Inference Risks of Neural Ordinary Differential Equations
Sanghyun Hong
Fan Wu
A. Gruber
Kookjin Lee
42
0
0
12 Jan 2025
Unveiling Privacy Vulnerabilities: Investigating the Role of Structure
  in Graph Data
Unveiling Privacy Vulnerabilities: Investigating the Role of Structure in Graph Data
Hanyang Yuan
Jiarong Xu
Cong Wang
Ziqi Yang
Chunping Wang
Keting Yin
Yang Yang
24
5
0
26 Jul 2024
Heterogeneous Hypergraph Embedding for Recommendation Systems
Heterogeneous Hypergraph Embedding for Recommendation Systems
Darnbi Sakong
Viet Hung Vu
T. T. Huynh
Phi Le Nguyen
Hongzhi Yin
Quoc Viet Hung Nguyen
Thanh Tam Nguyen
23
0
0
04 Jul 2024
A Survey of Latent Factor Models in Recommender Systems
A Survey of Latent Factor Models in Recommender Systems
Hind I. Alshbanat
Hafida Benhidour
Said Kerrache
LRM
BDL
43
1
0
28 May 2024
Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative
  Filtering
Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering
Peijie Sun
Le Wu
Kun Zhang
Xiangzhi Chen
Mengdi Wang
26
20
0
18 Feb 2024
Improving Dual-Encoder Training through Dynamic Indexes for Negative
  Mining
Improving Dual-Encoder Training through Dynamic Indexes for Negative Mining
Nicholas Monath
Manzil Zaheer
Kelsey R. Allen
Andrew McCallum
27
6
0
27 Mar 2023
GREASE: Generate Factual and Counterfactual Explanations for GNN-based
  Recommendations
GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations
Ziheng Chen
Fabrizio Silvestri
Jia Wang
Yongfeng Zhang
Zhenhua Huang
H. Ahn
Gabriele Tolomei
CML
17
27
0
04 Aug 2022
DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation
DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation
Zhu Sun
Hui Fang
Jie Yang
Xinghua Qu
Hongyang Liu
Di Yu
Yew-Soon Ong
Jie M. Zhang
18
34
0
22 Jun 2022
Divide and Conquer: Text Semantic Matching with Disentangled Keywords
  and Intents
Divide and Conquer: Text Semantic Matching with Disentangled Keywords and Intents
Yicheng Zou
Hongwei Liu
Tao Gui
Junzhe Wang
Qi Zhang
M. Tang
Haixiang Li
Dan Wang
DRL
35
29
0
06 Mar 2022
Are Your Sensitive Attributes Private? Novel Model Inversion Attribute
  Inference Attacks on Classification Models
Are Your Sensitive Attributes Private? Novel Model Inversion Attribute Inference Attacks on Classification Models
Shagufta Mehnaz
S. V. Dibbo
Ehsanul Kabir
Ninghui Li
E. Bertino
MIACV
34
60
0
23 Jan 2022
Defending against Model Stealing via Verifying Embedded External
  Features
Defending against Model Stealing via Verifying Embedded External Features
Yiming Li
Linghui Zhu
Xiaojun Jia
Yong Jiang
Shutao Xia
Xiaochun Cao
AAML
37
61
0
07 Dec 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
LadRa-Net: Locally-Aware Dynamic Re-read Attention Net for Sentence
  Semantic Matching
LadRa-Net: Locally-Aware Dynamic Re-read Attention Net for Sentence Semantic Matching
Kun Zhang
Guangyi Lv
Le Wu
Enhong Chen
Qi Liu
Meng Wang
17
6
0
06 Aug 2021
Productivity, Portability, Performance: Data-Centric Python
Productivity, Portability, Performance: Data-Centric Python
Yiheng Wang
Yao Zhang
Yanzhang Wang
Yan Wan
Jiao Wang
Zhongyuan Wu
Yuhao Yang
Bowen She
52
94
0
01 Jul 2021
DGA-Net Dynamic Gaussian Attention Network for Sentence Semantic
  Matching
DGA-Net Dynamic Gaussian Attention Network for Sentence Semantic Matching
Kun Zhang
Guangyi Lv
Meng Wang
Enhong Chen
16
0
0
09 Jun 2021
Graph-based Exercise- and Knowledge-Aware Learning Network for Student
  Performance Prediction
Graph-based Exercise- and Knowledge-Aware Learning Network for Student Performance Prediction
Mengfan Liu
Pengyang Shao
Kun Zhang
AI4Ed
14
6
0
01 Jun 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
13
16
0
16 May 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
Kun Zhang
Meng Wang
HAI
24
283
0
27 Apr 2021
Black-box Model Inversion Attribute Inference Attacks on Classification
  Models
Black-box Model Inversion Attribute Inference Attacks on Classification Models
Shagufta Mehnaz
Ninghui Li
E. Bertino
MIACV
11
13
0
07 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
Tree Structure-Aware Graph Representation Learning via Integrated
  Hierarchical Aggregation and Relational Metric Learning
Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning
Ziyue Qiao
Pengyang Wang
Yanjie Fu
Yi Du
P. Wang
Yuanchun Zhou
17
18
0
23 Aug 2020
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