ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1506.04757
  4. Cited By
Image-based Recommendations on Styles and Substitutes

Image-based Recommendations on Styles and Substitutes

15 June 2015
Julian McAuley
C. Targett
Javen Qinfeng Shi
Anton Van Den Hengel
ArXivPDFHTML

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

50 / 734 papers shown
Title
Random Matrix Analysis to Balance between Supervised and Unsupervised
  Learning under the Low Density Separation Assumption
Random Matrix Analysis to Balance between Supervised and Unsupervised Learning under the Low Density Separation Assumption
Vasilii Feofanov
Malik Tiomoko
Aladin Virmaux
38
5
0
20 Oct 2023
A Quasi-Wasserstein Loss for Learning Graph Neural Networks
A Quasi-Wasserstein Loss for Learning Graph Neural Networks
Minjie Cheng
Hongteng Xu
30
1
0
18 Oct 2023
From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and
  Beyond
From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond
Andi Han
Dai Shi
Lequan Lin
Junbin Gao
AI4CE
GNN
42
21
0
16 Oct 2023
On Generative Agents in Recommendation
On Generative Agents in Recommendation
An Zhang
Yuxin Chen
Leheng Sheng
Xiang Wang
Tat-Seng Chua
43
44
0
16 Oct 2023
Regularization-Based Methods for Ordinal Quantification
Regularization-Based Methods for Ordinal Quantification
Mirko Bunse
Alejandro Moreo
Fabrizio Sebastiani
M. Senz
14
1
0
13 Oct 2023
Local Graph Clustering with Noisy Labels
Local Graph Clustering with Noisy Labels
Artur Back de Luca
K. Fountoulakis
Shenghao Yang
19
1
0
12 Oct 2023
GraphControl: Adding Conditional Control to Universal Graph Pre-trained
  Models for Graph Domain Transfer Learning
GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfer Learning
Yun Zhu
Yaoke Wang
Haizhou Shi
Zhenshuo Zhang
Dian Jiao
Siliang Tang
AI4CE
47
27
0
11 Oct 2023
Binary Quantification and Dataset Shift: An Experimental Investigation
Binary Quantification and Dataset Shift: An Experimental Investigation
Pablo González
Alejandro Moreo
Fabrizio Sebastiani
18
6
0
06 Oct 2023
Demystifying Embedding Spaces using Large Language Models
Demystifying Embedding Spaces using Large Language Models
Guy Tennenholtz
Yinlam Chow
Chih-Wei Hsu
Jihwan Jeong
Lior Shani
Azamat Tulepbergenov
Deepak Ramachandran
Martin Mladenov
Craig Boutilier
33
12
0
06 Oct 2023
Out-of-Distribution Detection by Leveraging Between-Layer Transformation
  Smoothness
Out-of-Distribution Detection by Leveraging Between-Layer Transformation Smoothness
Fran Jelenić
Josip Jukić
Martin Tutek
Mate Puljiz
Jan vSnajder
OODD
37
5
0
04 Oct 2023
Revisiting Link Prediction: A Data Perspective
Revisiting Link Prediction: A Data Perspective
Haitao Mao
Juanhui Li
Harry Shomer
Bingheng Li
Wenqi Fan
Yao Ma
Tong Zhao
Neil Shah
Jiliang Tang
57
25
0
01 Oct 2023
FashionFlow: Leveraging Diffusion Models for Dynamic Fashion Video
  Synthesis from Static Imagery
FashionFlow: Leveraging Diffusion Models for Dynamic Fashion Video Synthesis from Static Imagery
Tasin Islam
A. Miron
Xiaohui Liu
Yongmin Li
DiffM
39
3
0
29 Sep 2023
Diffusion Augmentation for Sequential Recommendation
Diffusion Augmentation for Sequential Recommendation
Qidong Liu
Fan Yan
Xiangyu Zhao
Zhaochen Du
Huifeng Guo
Ruiming Tang
Feng Tian
39
36
0
22 Sep 2023
Turning Dross Into Gold Loss: is BERT4Rec really better than SASRec?
Turning Dross Into Gold Loss: is BERT4Rec really better than SASRec?
Anton Klenitskiy
Alexey Vasilev
21
31
0
14 Sep 2023
Text Matching Improves Sequential Recommendation by Reducing Popularity
  Biases
Text Matching Improves Sequential Recommendation by Reducing Popularity Biases
Zhenghao Liu
Senkun Mei
Chenyan Xiong
Xiaohua Li
Shi Yu
Zhiyuan Liu
Yu Gu
Ge Yu
30
21
0
27 Aug 2023
Network Embedding Using Sparse Approximations of Random Walks
Network Embedding Using Sparse Approximations of Random Walks
Paula Mercurio
Di Liu
21
0
0
25 Aug 2023
Class Label-aware Graph Anomaly Detection
Class Label-aware Graph Anomaly Detection
Junghoon Kim
Yeonjun In
Kanghoon Yoon
Junmo Lee
Chanyoung Park
25
9
0
22 Aug 2023
UGSL: A Unified Framework for Benchmarking Graph Structure Learning
UGSL: A Unified Framework for Benchmarking Graph Structure Learning
Bahare Fatemi
Sami Abu-El-Haija
Anton Tsitsulin
Seyed Mehran Kazemi
Dustin Zelle
Neslihan Bulut
Jonathan J. Halcrow
Bryan Perozzi
59
10
0
21 Aug 2023
Graph-based Alignment and Uniformity for Recommendation
Graph-based Alignment and Uniformity for Recommendation
Liangwei Yang
Zhiwei Liu
Chen Wang
Mingdai Yang
Xiao-lin Liu
Jing Ma
Philip S. Yu
30
17
0
18 Aug 2023
Half-Hop: A graph upsampling approach for slowing down message passing
Half-Hop: A graph upsampling approach for slowing down message passing
Mehdi Azabou
Venkataraman Ganesh
S. Thakoor
Chi-Heng Lin
Lakshmi Sathidevi
Ran Liu
Michal Valko
Petar Velickovic
Eva L. Dyer
39
21
0
17 Aug 2023
ICAR: Image-based Complementary Auto Reasoning
ICAR: Image-based Complementary Auto Reasoning
Xijun Wang
An-Chun Liang
Junbang Liang
Ming-Shun Lin
Yukuan Lou
Shan Yang
27
1
0
17 Aug 2023
MM-GEF: Multi-modal representation meet collaborative filtering
MM-GEF: Multi-modal representation meet collaborative filtering
Hao Wu
Alejandro Ariza-Casabona
Bartlomiej Twardowski
Tri Kurniawan Wijaya
22
1
0
14 Aug 2023
UIPC-MF: User-Item Prototype Connection Matrix Factorization for
  Explainable Collaborative Filtering
UIPC-MF: User-Item Prototype Connection Matrix Factorization for Explainable Collaborative Filtering
Lei Pan
V. Soo
47
0
0
14 Aug 2023
SAILOR: Structural Augmentation Based Tail Node Representation Learning
SAILOR: Structural Augmentation Based Tail Node Representation Learning
Jie Liao
Jintang Li
Liang Chen
Bing Wu
Yatao Bian
Zibin Zheng
38
3
0
13 Aug 2023
RECipe: Does a Multi-Modal Recipe Knowledge Graph Fit a Multi-Purpose
  Recommendation System?
RECipe: Does a Multi-Modal Recipe Knowledge Graph Fit a Multi-Purpose Recommendation System?
Ali Pesaranghader
Touqir Sajed
22
1
0
08 Aug 2023
ConvFormer: Revisiting Transformer for Sequential User Modeling
ConvFormer: Revisiting Transformer for Sequential User Modeling
Hao Wang
Jianxun Lian
Mingyang Wu
Haoxuan Li
Jiajun Fan
Wanyue Xu
Chaozhuo Li
Xing Xie
24
3
0
05 Aug 2023
VertexSerum: Poisoning Graph Neural Networks for Link Inference
VertexSerum: Poisoning Graph Neural Networks for Link Inference
Ruyi Ding
Shijin Duan
Xiaolin Xu
Yunsi Fei
AAML
GNN
58
4
0
02 Aug 2023
Automated Polynomial Filter Learning for Graph Neural Networks
Automated Polynomial Filter Learning for Graph Neural Networks
Wendi Yu
Zhichao Hou
Xiaorui Liu
29
0
0
16 Jul 2023
Intrinsically motivated graph exploration using network theories of
  human curiosity
Intrinsically motivated graph exploration using network theories of human curiosity
Shubhankar P. Patankar
Mathieu Ouellet
J. Cerviño
Alejandro Ribeiro
Kieran A. Murphy
Danielle Bassett
21
2
0
11 Jul 2023
AdaptiveRec: Adaptively Construct Pairs for Contrastive Learning in
  Sequential Recommendation
AdaptiveRec: Adaptively Construct Pairs for Contrastive Learning in Sequential Recommendation
Jaeheyoung Jeon
Jung Hyun Ryu
Jewoong Cho
Myung-joo Kang
27
1
0
07 Jul 2023
Graphtester: Exploring Theoretical Boundaries of GNNs on Graph Datasets
Graphtester: Exploring Theoretical Boundaries of GNNs on Graph Datasets
Eren Akbiyik
Florian Grötschla
Béni Egressy
Roger Wattenhofer
29
2
0
30 Jun 2023
Investigating Cross-Domain Behaviors of BERT in Review Understanding
Investigating Cross-Domain Behaviors of BERT in Review Understanding
Albert Lu
Meng Jiang
9
0
0
27 Jun 2023
FedSampling: A Better Sampling Strategy for Federated Learning
FedSampling: A Better Sampling Strategy for Federated Learning
Tao Qi
Fangzhao Wu
Lingjuan Lyu
Yongfeng Huang
Xing Xie
FedML
23
5
0
25 Jun 2023
Mining Stable Preferences: Adaptive Modality Decorrelation for
  Multimedia Recommendation
Mining Stable Preferences: Adaptive Modality Decorrelation for Multimedia Recommendation
Jinghao Zhang
Qiang Liu
Shu Wu
Liang Wang
31
8
0
25 Jun 2023
Improving Generalizability of Graph Anomaly Detection Models via Data
  Augmentation
Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation
Shuang Zhou
Xiao Shi Huang
Ninghao Liu
Huachi Zhou
F. Chung
Longhai Huang
71
23
0
18 Jun 2023
Bkd-FedGNN: A Benchmark for Classification Backdoor Attacks on Federated
  Graph Neural Network
Bkd-FedGNN: A Benchmark for Classification Backdoor Attacks on Federated Graph Neural Network
F. Liu
Siqi Lai
Yansong Ning
Hao Liu
AAML
FedML
50
3
0
17 Jun 2023
Securing Visually-Aware Recommender Systems: An Adversarial Image Reconstruction and Detection Framework
Securing Visually-Aware Recommender Systems: An Adversarial Image Reconstruction and Detection Framework
Minglei Yin
Bin Liu
Neil Zhenqiang Gong
Xin Li
AAML
9
1
0
11 Jun 2023
Hybrid Graph: A Unified Graph Representation with Datasets and
  Benchmarks for Complex Graphs
Hybrid Graph: A Unified Graph Representation with Datasets and Benchmarks for Complex Graphs
Zehui Li
Xiangyu Zhao
Mingzhu Shen
Guy-Bart Stan
Pietro Lio
Yiren Zhao
33
1
0
08 Jun 2023
COURIER: Contrastive User Intention Reconstruction for Large-Scale
  Visual Recommendation
COURIER: Contrastive User Intention Reconstruction for Large-Scale Visual Recommendation
Jia-Qi Yang
Chen Dai
OU Dan
Dongshuai Li
Ju Huang
De-Chuan Zhan
Xiaoyi Zeng
Yang Yang
25
1
0
08 Jun 2023
Absformer: Transformer-based Model for Unsupervised Multi-Document
  Abstractive Summarization
Absformer: Transformer-based Model for Unsupervised Multi-Document Abstractive Summarization
M. Trabelsi
H. Uzunalioglu
32
2
0
07 Jun 2023
On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based
  Graph Collaborative Filtering
On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative Filtering
Jiayan Guo
Lun Du
Xu Chen
Xiaojun Ma
Qiang Fu
Shi Han
Dongmei Zhang
Yan Zhang
46
20
0
06 Jun 2023
Clarify Confused Nodes via Separated Learning
Clarify Confused Nodes via Separated Learning
Jiajun Zhou
Sheng Gong
Chenxuan Xie
Shanqing Yu
Qi Xuan
Xiaoniu Yang
Xiaoniu Yang
94
3
0
04 Jun 2023
Graph Entropy Minimization for Semi-supervised Node Classification
Graph Entropy Minimization for Semi-supervised Node Classification
Yi Luo
Guangchun Luo
Ke Qin
Aiguo Chen
43
0
0
31 May 2023
DPFormer: Learning Differentially Private Transformer on Long-Tailed
  Data
DPFormer: Learning Differentially Private Transformer on Long-Tailed Data
Youlong Ding
Xueyang Wu
Hongya Wang
Weike Pan
44
0
0
28 May 2023
HyperFormer: Learning Expressive Sparse Feature Representations via
  Hypergraph Transformer
HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer
Kaize Ding
Albert Jiongqian Liang
Bryan Perrozi
Ting-Li Chen
Ruoxi Wang
Lichan Hong
Ed H. Chi
Huan Liu
D. Cheng
35
13
0
27 May 2023
GC-Flow: A Graph-Based Flow Network for Effective Clustering
GC-Flow: A Graph-Based Flow Network for Effective Clustering
Tianchun Wang
F. Mirzazadeh
Xinming Zhang
Jing Chen
BDL
53
7
0
26 May 2023
Union Subgraph Neural Networks
Union Subgraph Neural Networks
Jiaxing Xu
Aihu Zhang
Qingtian Bian
Vijay Prakash Dwivedi
Yiping Ke
GNN
32
6
0
25 May 2023
Reversible and irreversible bracket-based dynamics for deep graph neural
  networks
Reversible and irreversible bracket-based dynamics for deep graph neural networks
A. Gruber
Kookjin Lee
N. Trask
AI4CE
38
9
0
24 May 2023
A Simple and Effective Framework for Strict Zero-Shot Hierarchical
  Classification
A Simple and Effective Framework for Strict Zero-Shot Hierarchical Classification
R. Bhambhoria
Lei Chen
Xiao-Dan Zhu
30
4
0
24 May 2023
Domain-Expanded ASTE: Rethinking Generalization in Aspect Sentiment
  Triplet Extraction
Domain-Expanded ASTE: Rethinking Generalization in Aspect Sentiment Triplet Extraction
Yew Ken Chia
Hui Chen
Wei Han
Guizhen Chen
Sharifah Mahani Aljunied
Soujanya Poria
Lidong Bing
49
3
0
23 May 2023
Previous
123456...131415
Next