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2005.12021
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Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020
25 May 2020
Le Wu
Yonghui Yang
Kun Zhang
Richang Hong
Yanjie Fu
Meng Wang
GNN
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Papers citing
"Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach"
28 / 28 papers shown
LEGO: A Lightweight and Efficient Multiple-Attribute Unlearning Framework for Recommender Systems
Fengyuan Yu
Yuyuan Li
Xiaohua Feng
Junjie Fang
Tao Wang
Chaochao Chen
MU
237
2
0
23 Oct 2025
I
3
^3
3
-MRec: Invariant Learning with Information Bottleneck for Incomplete Modality Recommendation
Huilin Chen
Miaomiao Cai
Fan Liu
Zhiyong Cheng
Richang Hong
Meng Wang
376
0
0
06 Aug 2025
Disentangling and Generating Modalities for Recommendation in Missing Modality Scenarios
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025
Jiwan Kim
Hongseok Kang
Sein Kim
Kibum Kim
Chanyoung Park
395
3
0
23 Apr 2025
RAID: An In-Training Defense against Attribute Inference Attacks in Recommender Systems
Xiaohua Feng
Yuyuan Li
Fengyuan Yu
Ke Xiong
Junjie Fang
Lulu Zhang
Xuhong Zhang
Chaochao Chen
AAML
241
1
0
15 Apr 2025
A Geometric Approach to Personalized Recommendation with Set-Theoretic Constraints Using Box Embeddings
S. Dasgupta
Michael Boratko
Andrew McCallum
CML
206
0
0
15 Feb 2025
Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations
Sanghyun Hong
Fan Wu
A. Gruber
Kookjin Lee
316
0
0
12 Jan 2025
Prompt Tuning as User Inherent Profile Inference Machine
Yusheng Lu
Zhaocheng Du
Xiangyang Li
Pengyue Jia
Yejing Wang
...
Huifeng Guo
Ruiming Tang
Zhenhua Dong
Yongrui Duan
Xiangyu Zhao
208
2
0
13 Aug 2024
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
289
7
0
26 Jul 2024
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
251
2
0
04 Jul 2024
A Survey of Latent Factor Models in Recommender Systems
Hind I. Alshbanat
Hafida Benhidour
Said Kerrache
LRM
BDL
335
8
0
28 May 2024
Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering
Peijie Sun
Le Wu
Kun Zhang
Xiangzhi Chen
Mengdi Wang
200
34
0
18 Feb 2024
Exploring Heterogeneity and Uncertainty for Graph-based Cognitive Diagnosis Models in Intelligent Education
Pengyang Shao
Chen Gao
Lei Chen
Yonghui Yang
Kun Zhang
Chenyi Zhuang
Le Wu
Yong Li
Meng Wang
72
0
0
15 Feb 2024
Improving Dual-Encoder Training through Dynamic Indexes for Negative Mining
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Nicholas Monath
Manzil Zaheer
Kelsey R. Allen
Andrew McCallum
267
7
0
27 Mar 2023
GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations
Ziheng Chen
Fabrizio Silvestri
Jia Wang
Zelong Li
Zhenhua Huang
H. Ahn
Gabriele Tolomei
CML
210
38
0
04 Aug 2022
DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Zhu Sun
Hui Fang
Jie Yang
Xinghua Qu
Hongyang Liu
Di Yu
Yew-Soon Ong
Jie M. Zhang
302
47
0
22 Jun 2022
Divide and Conquer: Text Semantic Matching with Disentangled Keywords and Intents
Findings (Findings), 2022
Yicheng Zou
Hongwei Liu
Tao Gui
Junzhe Wang
Tao Gui
M. Tang
Haixiang Li
Dan Wang
DRL
335
34
0
06 Mar 2022
Are Your Sensitive Attributes Private? Novel Model Inversion Attribute Inference Attacks on Classification Models
USENIX Security Symposium (USENIX Security), 2022
Shagufta Mehnaz
S. V. Dibbo
Ehsanul Kabir
Ninghui Li
E. Bertino
MIACV
277
85
0
23 Jan 2022
Defending against Model Stealing via Verifying Embedded External Features
AAAI Conference on Artificial Intelligence (AAAI), 2021
Yiming Li
Linghui Zhu
Yang Liu
Yong Jiang
Shutao Xia
Xiaochun Cao
AAML
246
84
0
07 Dec 2021
SiReN: Sign-Aware Recommendation Using Graph Neural Networks
Changwon Seo
Kyeong-Joong Jeong
Sungsu Lim
Won-Yong Shin
243
33
0
19 Aug 2021
LadRa-Net: Locally-Aware Dynamic Re-read Attention Net for Sentence Semantic Matching
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Kun Zhang
Guangyi Lv
Le Wu
Enhong Chen
Qi Liu
Meng Wang
236
8
0
06 Aug 2021
Productivity, Portability, Performance: Data-Centric Python
Yiheng Wang
Yao Zhang
Yanzhang Wang
Yan Wan
Jiao Wang
Zhongyuan Wu
Yuhao Yang
Bowen She
423
116
0
01 Jul 2021
DGA-Net Dynamic Gaussian Attention Network for Sentence Semantic Matching
CAAI International Conference on Artificial Intelligence (CAAI-ICAI), 2021
Kun Zhang
Guangyi Lv
Meng Wang
Enhong Chen
164
0
0
09 Jun 2021
Graph-based Exercise- and Knowledge-Aware Learning Network for Student Performance Prediction
CAAI International Conference on Artificial Intelligence (CAAI-ICAI), 2021
Mengfan Liu
Pengyang Shao
Kun Zhang
AI4Ed
145
10
0
01 Jun 2021
Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021
Lei Chen
Le Wu
Kun Zhang
Richang Hong
Meng Wang
BDL
CML
139
18
0
16 May 2021
A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendation
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Le Wu
Xiangnan He
Xiang Wang
Kun Zhang
Meng Wang
HAI
442
405
0
27 Apr 2021
Black-box Model Inversion Attribute Inference Attacks on Classification Models
Shagufta Mehnaz
Ninghui Li
E. Bertino
MIACV
258
14
0
07 Dec 2020
Graph Neural Networks in Recommender Systems: A Survey
Shiwen Wu
Fei Sun
Wentao Zhang
Xu Xie
Tengjiao Wang
GNN
968
1,654
0
04 Nov 2020
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
151
22
0
23 Aug 2020
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