Image-based Recommendations on Styles and Substitutes

15 June 2015

Papers citing "Image-based Recommendations on Styles and Substitutes"

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Title
Debiasing Learning for Membership Inference Attacks Against Recommender Systems Zihan Wang Na Huang Fei Sun Pengjie Ren Zhumin Chen Hengliang Luo Maarten de Rijke Zhaochun Ren AAML 48 14 0 24 Jun 2022
Personalized Subgraph Federated Learning Jinheon Baek Wonyong Jeong Jiongdao Jin Jaehong Yoon Sung Ju Hwang FedML 29 53 0 21 Jun 2022
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs Kay Liu Yingtong Dou Yue Zhao Xueying Ding Xiyang Hu ... Lichao Sun Jundong Li George H. Chen Zhihao Jia Philip S. Yu OOD 26 92 0 21 Jun 2022
NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search Yi Qin Ziwei Zhang Xin Eric Wang Zeyang Zhang Wenwu Zhu 34 26 0 18 Jun 2022
Certified Graph Unlearning Eli Chien Chao Pan O. Milenkovic MU 43 39 0 18 Jun 2022
Recommender Transformers with Behavior Pathways Zhiyu Yao Xinyang Chen Sinan Wang Qinyan Dai Yumeng Li Tanchao Zhu Mingsheng Long 32 3 0 13 Jun 2022
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning Yifei Zhang Hao Zhu Zixing Song Piotr Koniusz Iriwn King 52 91 0 09 Jun 2022
Accurate Node Feature Estimation with Structured Variational Graph Autoencoder Jaemin Yoo Hyunsik Jeon Jinhong Jung U. Kang BDL 35 19 0 09 Jun 2022
Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning Ling Yang linda Qiao 56 12 0 31 May 2022
Spectral Maps for Learning on Subgraphs Marco Pegoraro R. Marin Arianna Rampini Simone Melzi Luca Cosmo Emanuele Rodolà 34 2 0 30 May 2022
Detecting Label Errors by using Pre-Trained Language Models Derek Chong Jenny Hong Christopher D. Manning NoLa 87 21 0 25 May 2022
A General Framework for quantifying Aleatoric and Epistemic uncertainty in Graph Neural Networks Sai Munikoti D. Agarwal Laya Das Balasubramaniam Natarajan BDL UD 42 13 0 20 May 2022
Are Graph Representation Learning Methods Robust to Graph Sparsity and Asymmetric Node Information? P. Sevestre M. Neyret 29 0 0 19 May 2022
Experiments on Generalizability of User-Oriented Fairness in Recommender Systems Hossein A. Rahmani Mohammadmehdi Naghiaei M. Dehghan Mohammad Aliannejadi FaML 46 35 0 17 May 2022
Integrating User and Item Reviews in Deep Cooperative Neural Networks for Movie Recommendation Aristeidis Karras Christos N. Karras HAI 27 7 0 12 May 2022
End-to-End Image-Based Fashion Recommendation Shereen Elsayed L. Brinkmeyer Lars Schmidt-Thieme 27 13 0 05 May 2022
Alignahead: Online Cross-Layer Knowledge Extraction on Graph Neural Networks Jiongyu Guo Defang Chen Can Wang FedML 21 4 0 05 May 2022
An Application to Generate Style Guided Compatible Outfit Debopriyo Banerjee Harsh Maheshwari Lucky Dhakad Arnab Bhattacharya Niloy Ganguly M. Chelliah Suyash Agarwal 47 0 0 02 May 2022
Determinantal Point Process Likelihoods for Sequential Recommendation Yuli Liu Christian J. Walder Lexing Xie 34 14 0 25 Apr 2022
Decoupled Side Information Fusion for Sequential Recommendation Yueqi Xie Peilin Zhou Sunghun Kim 54 113 0 23 Apr 2022
$All-optical graph representation learning using integrated diffractive photonic computing units$ All-optical graph representation learning using integrated diffractive photonic computing units Tao Yan Rui Yang Ziyang Zheng Xing Lin H. Xiong Qionghai Dai GNN 21 58 0 23 Apr 2022
Counterfactual Learning To Rank for Utility-Maximizing Query Autocompletion Adam Block Rahul Kidambi Daniel N. Hill Thorsten Joachims Inderjit S. Dhillon CML 32 6 0 22 Apr 2022
FedCL: Federated Contrastive Learning for Privacy-Preserving Recommendation Chuhan Wu Fangzhao Wu Tao Qi Yongfeng Huang Xing Xie FedML 34 15 0 21 Apr 2022
Label Efficient Regularization and Propagation for Graph Node Classification Tian Xie Rajgopal Kannan C.-C. Jay Kuo 37 2 0 19 Apr 2022
How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision Dongkwan Kim Alice Oh SSL GNN 42 257 0 11 Apr 2022
Multimodal Quasi-AutoRegression: Forecasting the visual popularity of new fashion products Stefanos-Iordanis Papadopoulos C. Koutlis Symeon Papadopoulos Y. Kompatsiaris 29 20 0 08 Apr 2022
A Survey on Dropout Methods and Experimental Verification in Recommendation Yongqian Li Weizhi Ma C. L. Philip Chen Hao Fei Yiqun Liu Shaoping Ma Yue Yang 48 10 0 05 Apr 2022
ELECRec: Training Sequential Recommenders as Discriminators Yong-Guang Chen Jia Li Caiming Xiong 36 15 0 05 Apr 2022
GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment Junseok Lee Yunhak Oh Yeonjun In Namkyeong Lee Dongmin Hyun Chanyoung Park 32 12 0 04 Apr 2022
Recommendation of Compatible Outfits Conditioned on Style Debopriyo Banerjee Lucky Dhakad Harsh Maheshwari M. Chelliah Niloy Ganguly Arnab Bhattacharya 23 5 0 30 Mar 2022
Data Augmentation Strategies for Improving Sequential Recommender Systems Jooeun Song B. Suh 6 9 0 26 Mar 2022
Improving Contrastive Learning with Model Augmentation Zhiwei Liu Yong-Guang Chen Jia Li Man Luo Philip S. Yu Caiming Xiong 33 11 0 25 Mar 2022
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series Jean-Christophe Gagnon-Audet Kartik Ahuja Mohammad Javad Darvishi Bayazi Pooneh Mousavi G. Dumas Irina Rish OOD CML AI4TS 49 29 0 18 Mar 2022
ELLE: Efficient Lifelong Pre-training for Emerging Data Yujia Qin Jiajie Zhang Yankai Lin Zhiyuan Liu Peng Li Maosong Sun Jie Zhou 35 68 0 12 Mar 2022
WSLRec: Weakly Supervised Learning for Neural Sequential Recommendation Models Jingwei Zhuo Binda Liu Xiang Li Ziru Xu Xiaoqiang Zhu 11 0 0 28 Feb 2022
Filter-enhanced MLP is All You Need for Sequential Recommendation Kun Zhou Hui Yu Wayne Xin Zhao Ji-Rong Wen 92 258 0 28 Feb 2022
Sign and Basis Invariant Networks for Spectral Graph Representation Learning Derek Lim Joshua Robinson Lingxiao Zhao Tess E. Smidt S. Sra Haggai Maron Stefanie Jegelka 56 143 0 25 Feb 2022
Improved Dual Correlation Reduction Network Yue Liu Sihang Zhou Xinwang Liu Wenxuan Tu Xihong Yang 31 22 0 25 Feb 2022
Utilizing Out-Domain Datasets to Enhance Multi-Task Citation Analysis Dominique Mercier Syed Tahseen Raza Rizvi Vikas Rajashekar Sheraz Ahmed Andreas Dengel 31 1 0 22 Feb 2022
Self-Supervised Representation Learning via Latent Graph Prediction Yaochen Xie Zhao Xu Shuiwang Ji SSL 30 32 0 16 Feb 2022
Understanding and Improving Graph Injection Attack by Promoting Unnoticeability Yongqiang Chen Han Yang Yonggang Zhang Kaili Ma Tongliang Liu Bo Han James Cheng AAML 32 84 0 16 Feb 2022
Efficient Cross-Modal Retrieval via Deep Binary Hashing and Quantization Yang Shi Young-joo Chung MQ 18 3 0 15 Feb 2022
Geometric Graph Representation Learning via Maximizing Rate Reduction Xiaotian Han Zhimeng Jiang Ninghao Liu Qingquan Song Jundong Li Xia Hu 39 21 0 13 Feb 2022
Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning Zihan Lin Changxin Tian Yupeng Hou Wayne Xin Zhao 41 424 0 13 Feb 2022
Simplified Graph Convolution with Heterophily Sudhanshu Chanpuriya Cameron Musco 32 25 0 08 Feb 2022
Triangle Graph Interest Network for Click-through Rate Prediction Wensen Jiang Yizhu Jiao Qingqin Wang Chuanming Liang Lijie Guo Yao Zhang Zhijun Sun Yun Xiong Yangyong Zhu 19 18 0 06 Feb 2022
Intent Contrastive Learning for Sequential Recommendation Yong-Guang Chen Zhiwei Liu Jia Li Julian McAuley Caiming Xiong 42 292 0 05 Feb 2022
Graph Decipher: A transparent dual-attention graph neural network to understand the message-passing mechanism for the node classification Yan Pang Chao Liu GNN 31 8 0 04 Jan 2022
Automated Fake News Detection using cross-checking with reliable sources Zahra Ghadiri M. Ranjbar Fakhteh Ghanbarnejad S. Raeisi GNN 28 4 0 01 Jan 2022
Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective Lanning Wei Huan Zhao Zhiqiang He AI4CE 34 42 0 29 Dec 2021