Image-based Recommendations on Styles and Substitutes

15 June 2015

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

50 / 432 papers shown

Title
Attention Mixtures for Time-Aware Sequential Recommendation Viet-Anh Tran Guillaume Salha-Galvan Bruno Sguerra Romain Hennequin 75 21 0 17 Apr 2023
Deep Stable Multi-Interest Learning for Out-of-distribution Sequential Recommendation Qiang Liu Zhaocheng Liu Zhen Zhu Shu Wu Liang Wang OOD OODD 123 3 0 12 Apr 2023
Item Graph Convolution Collaborative Filtering for Inductive Recommendations Edoardo DÁmico Khalil Muhammad E. Tragos Barry Smyth N. Hurley A. Lawlor GNN 86 7 0 28 Mar 2023
Feature propagation as self-supervision signals on graphs Oscar Pina Verónica Vilaplana SSL 61 1 0 15 Mar 2023
Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts Gleb Bazhenov Denis Kuznedelev A. Malinin Artem Babenko Liudmila Prokhorenkova OOD 122 8 0 27 Feb 2023
Adversarial Learning Networks: Source-free Unsupervised Domain Incremental Learning Abhinit Kumar Ambastha Tze-Yun Leong CLL OOD 76 1 0 28 Jan 2023
Towards Personalized Review Summarization by Modeling Historical Reviews from Customer and Product Separately Xin Cheng Shen Gao Yuchi Zhang Yongliang Wang Preslav Nakov Mingzhe Li Dongyan Zhao Rui Yan 94 10 0 27 Jan 2023
Debiasing the Cloze Task in Sequential Recommendation with Bidirectional Transformers Khalil Damak Sami Khenissi O. Nasraoui BDL 81 8 0 22 Jan 2023
ERNIE 3.0 Tiny: Frustratingly Simple Method to Improve Task-Agnostic Distillation Generalization Weixin Liu Xuyi Chen Jiaxiang Liu Shi Feng Yu Sun Hao Tian Hua Wu 97 2 0 09 Jan 2023
Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs Chenxiao Yang Qitian Wu Jiahua Wang Junchi Yan AI4CE 143 56 0 18 Dec 2022
Coarse-to-Fine Contrastive Learning on Graphs Peiyao Zhao Yuangang Pan Xin Li Xu Chen Ivor W. Tsang L. Liao SSL 68 5 0 13 Dec 2022
Mul-GAD: a semi-supervised graph anomaly detection framework via aggregating multi-view information Zhiyuan Liu Chunjie Cao Jingzhang Sun 69 10 0 11 Dec 2022
Localized Contrastive Learning on Graphs Hengrui Zhang Qitian Wu Yu Wang Shaofeng Zhang Junchi Yan Philip S. Yu 92 12 0 08 Dec 2022
G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks Zhongwei Wan Yichun Yin Wei Zhang Jiaxin Shi Lifeng Shang Guangyong Chen Xin Jiang Qun Liu VLM CLL 127 18 0 07 Dec 2022
Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment Qizhou Wang Guansong Pang Mahsa Salehi Wray Buntine C. Leckie 103 31 0 02 Dec 2022
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond Yifei Zhang Hao Zhu Zixing Song Piotr Koniusz Irwin King 98 91 0 02 Dec 2022
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder Zi-Chao Gao Yifan Niu Jiashun Cheng Jianheng Tang Tingyang Xu P. Zhao Lanqing Li Fugee Tsung Jia Li 131 13 0 30 Nov 2022
Outfit Generation and Recommendation -- An Experimental Study Marjan Celikik Matthias Kirmse Timo I. Denk Pierre Gagliardi S. Mbarek Duy Pham Ana Peleteiro Ramallo 98 4 0 29 Nov 2022
Two Is Better Than One: Dual Embeddings for Complementary Product Recommendations Giorgi Kvernadze P. A. Sudyanti N. Subedi Mohammadtaghi Hajiaghayi 69 3 0 28 Nov 2022
Graph Contrastive Learning with Implicit Augmentations Huidong Liang Xingjian Du Bilei Zhu Zejun Ma Ke Chen Junbin Gao 91 30 0 07 Nov 2022
Generalized Reciprocal Perspective Kevin Dick Daniel G. Kyrollos J.R. Green 62 0 0 20 Oct 2022
Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP Yangyi Chen Hongcheng Gao Ganqu Cui Fanchao Qi Longtao Huang Zhiyuan Liu Maosong Sun SILM 73 56 0 19 Oct 2022
Task Compass: Scaling Multi-task Pre-training with Task Prefix Zhuosheng Zhang Shuohang Wang Yichong Xu Yuwei Fang Wenhao Yu Yang Liu Han Zhao Chenguang Zhu Michael Zeng SSL LRM 72 16 0 12 Oct 2022
Boosting Graph Neural Networks via Adaptive Knowledge Distillation Zhichun Guo Chunhui Zhang Yujie Fan Yijun Tian Chuxu Zhang Nitesh Chawla 97 36 0 12 Oct 2022
Linkless Link Prediction via Relational Distillation Zhichun Guo William Shiao Shichang Zhang Yozen Liu Nitesh Chawla Neil Shah Tong Zhao 122 43 0 11 Oct 2022
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization Xiaotian Han Tong Zhao Yozen Liu Helen Zhou Neil Shah GNN 162 39 0 30 Sep 2022
Graph Soft-Contrastive Learning via Neighborhood Ranking Zhiyuan Ning P. Wang Pengyang Wang Ziyue Qiao Wei Fan Denghui Zhang Yi Du Yuanchun Zhou 103 16 0 28 Sep 2022
Revisiting Embeddings for Graph Neural Networks S. Purchase A. Zhao Robert D. Mullins 74 3 0 19 Sep 2022
On the Robustness of Graph Neural Diffusion to Topology Perturbations Yang Song Qiyu Kang Sijie Wang Zhao Kai Wee Peng Tay DiffM AAML 112 37 0 16 Sep 2022
SUPER-Rec: SUrrounding Position-Enhanced Representation for Recommendation Taejun Lim Siqu Long Josiah Poon S. Han 57 0 0 09 Sep 2022
Time-aware Self-Attention Meets Logic Reasoning in Recommender Systems Zhijian Luo Zihan Huang Jiahui Tang Yueen Hou Yanzeng Gao LRM 133 1 0 29 Aug 2022
ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation Yu Wang Hengrui Zhang Zhiwei Liu Liangwei Yang Philip S. Yu DRL 104 50 0 27 Aug 2022
Towards Federated Learning against Noisy Labels via Local Self-Regularization Xue Jiang Sheng Sun Yuwei Wang Min Liu 85 41 0 25 Aug 2022
Link-Backdoor: Backdoor Attack on Link Prediction via Node Injection Haibin Zheng Haiyang Xiong Hao-Shang Ma Guohan Huang Jinyin Chen 82 13 0 14 Aug 2022
Node Copying: A Random Graph Model for Effective Graph Sampling Florence Regol Soumyasundar Pal Jianing Sun Yingxue Zhang Yanhui Geng Mark Coates 79 5 0 04 Aug 2022
HybridGNN: Learning Hybrid Representation in Multiplex Heterogeneous Networks Tiankai Gu Chaokun Wang Cheng Wu Jingcao Xu Yunkai Lou Changping Wang K. Xu Can Ye Yang Song 91 10 0 03 Aug 2022
Topological structure of complex predictions Meng Liu T. Dey D. Gleich 69 4 0 28 Jul 2022
Controllable Data Generation by Deep Learning: A Review Shiyu Wang Yuanqi Du Xiaojie Guo Bo Pan Zhaohui Qin Liang Zhao 108 28 0 19 Jul 2022
Defending Substitution-Based Profile Pollution Attacks on Sequential Recommenders Zhenrui Yue Huimin Zeng Ziyi Kou Lanyu Shang Dong Wang AAML 50 26 0 19 Jul 2022
Improving Multi-Interest Network with Stable Learning Zhaocheng Liu Yingtao Luo Di Zeng Qiang Liu Daqing Chang Dongying Kong Zhi Chen HAI 114 1 0 14 Jul 2022
Domain Confused Contrastive Learning for Unsupervised Domain Adaptation Quanyu Long Tianze Luo Wenya Wang Sinno Jialin Pan 110 8 0 10 Jul 2022
Personalized Showcases: Generating Multi-Modal Explanations for Recommendations An Yan Zhankui He Jiacheng Li Tianyang Zhang Julian McAuley 88 37 0 30 Jun 2022
Personalized Subgraph Federated Learning Jinheon Baek Wonyong Jeong Jiongdao Jin Jaehong Yoon Sung Ju Hwang FedML 87 61 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 105 99 0 21 Jun 2022
NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search Yi Qin Ziwei Zhang Xin Eric Wang Zeyang Zhang Wenwu Zhu 94 28 0 18 Jun 2022
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning Yifei Zhang Hao Zhu Zixing Song Piotr Koniusz Iriwn King 89 93 0 09 Jun 2022
Accurate Node Feature Estimation with Structured Variational Graph Autoencoder Jaemin Yoo Hyunsik Jeon Jinhong Jung U. Kang BDL 52 21 0 09 Jun 2022
Detecting Label Errors by using Pre-Trained Language Models Derek Chong Jenny Hong Christopher D. Manning NoLa 122 22 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 90 13 0 20 May 2022
Are Graph Representation Learning Methods Robust to Graph Sparsity and Asymmetric Node Information? P. Sevestre M. Neyret 66 0 0 19 May 2022