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Dual Test-time Training for Out-of-distribution Recommender System

Dual Test-time Training for Out-of-distribution Recommender System

IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
13 March 2025
Xihong Yang
Yiqi Wang
Jin Chen
Wenqi Fan
Xiangyu Zhao
En Zhu
Xinwang Liu
Defu Lian
    TTA
ArXiv (abs)PDFHTML

Papers citing "Dual Test-time Training for Out-of-distribution Recommender System"

50 / 52 papers shown
Title
Beyond Augmentation: Leveraging Inter-Instance Relation in Self-Supervised Representation Learning
Beyond Augmentation: Leveraging Inter-Instance Relation in Self-Supervised Representation LearningIEEE Signal Processing Letters (IEEE SPL), 2025
Ali Javidani
Babak N. Araabi
Mohammad Amin Sadeghi
SSL
149
0
0
25 Oct 2025
Generalized Deep Multi-view Clustering via Causal Learning with Partially Aligned Cross-view Correspondence
Generalized Deep Multi-view Clustering via Causal Learning with Partially Aligned Cross-view Correspondence
Xihong Yang
Siwei Wang
Jiaqi Jin
Fangdi Wang
Tianrui Liu
Yueming Jin
Xinwang Liu
En Zhu
Kunlun He
156
0
0
19 Sep 2025
Divide-Then-Rule: A Cluster-Driven Hierarchical Interpolator for Attribute-Missing Graphs
Divide-Then-Rule: A Cluster-Driven Hierarchical Interpolator for Attribute-Missing Graphs
Yaowen Hu
Wenxuan Tu
Yue Liu
Miaomiao Li
Wenpeng Lu
Zhigang Luo
Xinwang Liu
Ping Chen
101
0
0
12 Jul 2025
Automatically Identify and Rectify: Robust Deep Contrastive Multi-view Clustering in Noisy Scenarios
Automatically Identify and Rectify: Robust Deep Contrastive Multi-view Clustering in Noisy Scenarios
Xihong Yang
Siwei Wang
Fangdi Wang
Jiaqi Jin
Suyuan Liu
Yue Liu
En Zhu
Xinwang Liu
Yueming Jin
253
5
0
27 May 2025
Causal-Invariant Cross-Domain Out-of-Distribution Recommendation
Causal-Invariant Cross-Domain Out-of-Distribution Recommendation
Jiajie Zhu
Yan Wang
Feng Zhu
Pengfei Ding
Hongyang Liu
Zhu Sun
OODD
190
0
0
22 May 2025
Test-Time Alignment for Tracking User Interest Shifts in Sequential Recommendation
Test-Time Alignment for Tracking User Interest Shifts in Sequential Recommendation
Changshuo Zhang
Xiao Zhang
Teng Shi
Jun Xu
Ji-Rong Wen
282
9
0
02 Apr 2025
Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation
Graph Representation Learning via Causal Diffusion for Out-of-Distribution RecommendationThe Web Conference (WWW), 2024
Chu Zhao
Enneng Yang
Yuliang Liang
Pengxiang Lan
Yuting Liu
Jianzhe Zhao
Guibing Guo
Xingwei Wang
OODDiffMCML
588
14
0
01 Aug 2024
Test-Time Training on Graphs with Large Language Models (LLMs)
Test-Time Training on Graphs with Large Language Models (LLMs)
Jiaxin Zhang
Yiqi Wang
Xihong Yang
Siwei Wang
Yu Feng
Yu Shi
Ruicaho Ren
En Zhu
Xinwang Liu
153
4
0
21 Apr 2024
End-to-end Learnable Clustering for Intent Learning in Recommendation
End-to-end Learnable Clustering for Intent Learning in RecommendationNeural Information Processing Systems (NeurIPS), 2024
Yue Liu
Shihao Zhu
Jun Xia
Yingwei Ma
Jian Ma
Wenliang Zhong
Xinwang Liu
Guannan Zhang
Kejun Zhang
260
27
0
11 Jan 2024
APGL4SR: A Generic Framework with Adaptive and Personalized Global
  Collaborative Information in Sequential Recommendation
APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential RecommendationInternational Conference on Information and Knowledge Management (CIKM), 2023
Mingjia Yin
Hao Wang
Xiang Xu
Likang Wu
Zhengye Zhang
Wei Guo
Yong Liu
Ruiming Tang
Defu Lian
Enhong Chen
LMTDAI4TSHAI
192
35
0
06 Nov 2023
Representation Learning with Large Language Models for Recommendation
Representation Learning with Large Language Models for RecommendationThe Web Conference (WWW), 2023
Xubin Ren
Wei Wei
Lianghao Xia
Lixin Su
Suqi Cheng
Junfeng Wang
D. Yin
Chao Huang
349
289
0
24 Oct 2023
Robust Collaborative Filtering to Popularity Distribution Shift
Robust Collaborative Filtering to Popularity Distribution Shift
An Zhang
Wenchang Ma
Jingnan Zheng
Xiang Wang
Tat-Seng Chua
212
35
0
16 Oct 2023
Asymmetric double-winged multi-view clustering network for exploring
  Diverse and Consistent Information
Asymmetric double-winged multi-view clustering network for exploring Diverse and Consistent InformationNeural Networks (Neural Netw.), 2023
Qun Zheng
Xihong Yang
Siwei Wang
Xinru An
Qi Liu
179
9
0
01 Sep 2023
DealMVC: Dual Contrastive Calibration for Multi-view Clustering
DealMVC: Dual Contrastive Calibration for Multi-view ClusteringACM Multimedia (ACM MM), 2023
Xihong Yang
Jiaqi Jin
Siwei Wang
K. Liang
Yue Liu
Yi Wen
Suyuan Liu
Sihang Zhou
Xinwang Liu
En Zhu
289
110
0
17 Aug 2023
CONVERT:Contrastive Graph Clustering with Reliable Augmentation
CONVERT:Contrastive Graph Clustering with Reliable AugmentationACM Multimedia (ACM MM), 2023
Xihong Yang
Cheng Tan
Yue Liu
K. Liang
Siwei Wang
Sihang Zhou
Jun Xia
Stan Z. Li
Xinwang Liu
En Zhu
167
65
0
17 Aug 2023
SSLRec: A Self-Supervised Learning Framework for Recommendation
SSLRec: A Self-Supervised Learning Framework for RecommendationWeb Search and Data Mining (WSDM), 2023
Xubin Ren
Lianghao Xia
Yuhao Yang
Wei Wei
Tianle Wang
Xuheng Cai
Chao Huang
191
50
0
10 Aug 2023
Disentangled Contrastive Collaborative Filtering
Disentangled Contrastive Collaborative FilteringAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Xubin Ren
Lianghao Xia
Jiashu Zhao
D. Yin
Chao Huang
180
118
0
04 May 2023
Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling is
  All You Need
Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling is All You NeedComputer Vision and Pattern Recognition (CVPR), 2023
Jingyao Li
Pengguang Chen
Shaozuo Yu
Zexin He
Shu Liu
Jiaya Jia
OODD
268
60
0
06 Feb 2023
Cross-domain recommendation via user interest alignment
Cross-domain recommendation via user interest alignmentThe Web Conference (WWW), 2023
Chuang Zhao
Hongke Zhao
Ming He
Jian Zhang
Jianping Fan
151
98
0
26 Jan 2023
Cluster-guided Contrastive Graph Clustering Network
Cluster-guided Contrastive Graph Clustering NetworkAAAI Conference on Artificial Intelligence (AAAI), 2023
Xihong Yang
Yue Liu
Sihang Zhou
Siwei Wang
Wenxuan Tu
Qun Zheng
Xinwang Liu
Liming Fang
En Zhu
252
142
0
03 Jan 2023
Knowledge Graph Contrastive Learning Based on Relation-Symmetrical
  Structure
Knowledge Graph Contrastive Learning Based on Relation-Symmetrical StructureIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
K. Liang
Yue Liu
Sihang Zhou
Wenxuan Tu
Yi Wen
Xihong Yang
Xiang Dong
Xinwang Liu
313
112
0
19 Nov 2022
Test-Time Training for Graph Neural Networks
Test-Time Training for Graph Neural Networks
Yiqi Wang
Chaozhuo Li
Wei Jin
Rui Li
Jianan Zhao
Shucheng Zhou
Xing Xie
OOD
172
18
0
17 Oct 2022
Empowering Graph Representation Learning with Test-Time Graph
  Transformation
Empowering Graph Representation Learning with Test-Time Graph TransformationInternational Conference on Learning Representations (ICLR), 2022
Wei Jin
Tong Zhao
Jiayu Ding
Yozen Liu
Shucheng Zhou
Neil Shah
OOD
303
76
0
07 Oct 2022
Multi-layer Representation Learning for Robust OOD Image Classification
Multi-layer Representation Learning for Robust OOD Image ClassificationHellenic Conference on Artificial Intelligence (HAI), 2022
Aristotelis Ballas
Christos Diou
136
5
0
27 Jul 2022
Mixed Graph Contrastive Network for Semi-Supervised Node Classification
Mixed Graph Contrastive Network for Semi-Supervised Node ClassificationACM Transactions on Knowledge Discovery from Data (TKDD), 2022
Xihong Yang
Yue Liu
Sihang Zhou
Xinwang Liu
En Zhu
Sihang Zhou
Xinwang Liu
En Zhu
SSL
272
37
0
06 Jun 2022
Interpolation-based Contrastive Learning for Few-Label Semi-Supervised
  Learning
Interpolation-based Contrastive Learning for Few-Label Semi-Supervised LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Xihong Yang
Xiaochang Hu
Sihang Zhou
Xinwang Liu
En Zhu
SSL
557
55
0
24 Feb 2022
CausPref: Causal Preference Learning for Out-of-Distribution
  Recommendation
CausPref: Causal Preference Learning for Out-of-Distribution RecommendationThe Web Conference (WWW), 2022
Yue He
Zimu Wang
Peng Cui
Hao Zou
Yafeng Zhang
Qiang Cui
Yong Jiang
OODCMLOODD
176
59
0
08 Feb 2022
SimGRACE: A Simple Framework for Graph Contrastive Learning without Data
  Augmentation
SimGRACE: A Simple Framework for Graph Contrastive Learning without Data AugmentationThe Web Conference (WWW), 2022
Jun Xia
Lirong Wu
Jintao Chen
Bozhen Hu
Stan Z. Li
215
366
0
07 Feb 2022
Deep Graph Clustering via Dual Correlation Reduction
Deep Graph Clustering via Dual Correlation ReductionAAAI Conference on Artificial Intelligence (AAAI), 2021
Yue Liu
Wenxuan Tu
Sihang Zhou
Xinwang Liu
Linxuan Song
Xihong Yang
En Zhu
152
266
0
29 Dec 2021
An Adaptive Graph Pre-training Framework for Localized Collaborative
  Filtering
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering
Yiqi Wang
Chaozhuo Li
Zheng Liu
Mingzheng Li
Shucheng Zhou
Xing Xie
Lei Chen
Philip S. Yu
139
25
0
14 Dec 2021
Self-supervised Contrastive Attributed Graph Clustering
Self-supervised Contrastive Attributed Graph Clustering
Wei Xia
Quanxue Gao
Ming Yang
Xinbo Gao
SSL
228
46
0
15 Oct 2021
Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative
  Filtering
Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering
Jin Chen
Defu Lian
Binbin Jin
Xunpeng Huang
Kai Zheng
Enhong Chen
BDL
204
28
0
13 Sep 2021
Localized Graph Collaborative Filtering
Localized Graph Collaborative FilteringSDM (SDM), 2021
Yiqi Wang
Chaozhuo Li
Mingzheng Li
Wei Jin
Yuming Liu
Hao Sun
Xing Xie
Shucheng Zhou
134
12
0
10 Aug 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Barlow Twins: Self-Supervised Learning via Redundancy ReductionInternational Conference on Machine Learning (ICML), 2021
Jure Zbontar
Li Jing
Ishan Misra
Yann LeCun
Stéphane Deny
SSL
976
2,689
0
04 Mar 2021
HDMI: High-order Deep Multiplex Infomax
HDMI: High-order Deep Multiplex InfomaxThe Web Conference (WWW), 2021
Baoyu Jing
Chanyoung Park
Hanghang Tong
345
187
0
15 Feb 2021
SAIL: Self-Augmented Graph Contrastive Learning
SAIL: Self-Augmented Graph Contrastive LearningAAAI Conference on Artificial Intelligence (AAAI), 2020
Lu Yu
Shichao Pei
Lizhong Ding
Jun Zhou
Longfei Li
Chuxu Zhang
Xiangliang Zhang
SSL
261
43
0
02 Sep 2020
Disentangled Graph Collaborative Filtering
Disentangled Graph Collaborative Filtering
Xiang Wang
Hongye Jin
An Zhang
Xiangnan He
Tong Xu
Tat-Seng Chua
221
632
0
03 Jul 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised LearningNeural Information Processing Systems (NeurIPS), 2020
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
1.0K
7,722
0
13 Jun 2020
Contrastive Multi-View Representation Learning on Graphs
Contrastive Multi-View Representation Learning on GraphsInternational Conference on Machine Learning (ICML), 2020
Kaveh Hassani
Amir Hosein Khas Ahmadi
SSL
612
1,535
0
10 Jun 2020
Deep Graph Contrastive Representation Learning
Deep Graph Contrastive Representation Learning
Yanqiao Zhu
Yichen Xu
Feng Yu
Qiang Liu
Shu Wu
Liang Wang
SSL
255
956
0
07 Jun 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual RepresentationsInternational Conference on Machine Learning (ICML), 2020
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
1.0K
21,811
0
13 Feb 2020
LightGCN: Simplifying and Powering Graph Convolution Network for
  Recommendation
LightGCN: Simplifying and Powering Graph Convolution Network for RecommendationAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020
Xiangnan He
Kuan Deng
Xiang Wang
Yan Li
Yongdong Zhang
Meng Wang
GNN
549
4,410
0
06 Feb 2020
Graph Representation Learning via Graphical Mutual Information
  Maximization
Graph Representation Learning via Graphical Mutual Information MaximizationThe Web Conference (WWW), 2020
Zhen Peng
Wenbing Huang
Minnan Luo
Q. Zheng
Yu Rong
Qifeng Bai
Junzhou Huang
SSL
321
645
0
04 Feb 2020
Learning Disentangled Representations for Recommendation
Learning Disentangled Representations for RecommendationNeural Information Processing Systems (NeurIPS), 2019
Jianxin Ma
Chang Zhou
Peng Cui
Hongxia Yang
Wenwu Zhu
CMLDRL
171
354
0
31 Oct 2019
Test-Time Training with Self-Supervision for Generalization under
  Distribution Shifts
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts
Yu Sun
Xiaolong Wang
Zhuang Liu
John Miller
Alexei A. Efros
Moritz Hardt
TTAOOD
243
104
0
29 Sep 2019
Unbiased Recommender Learning from Missing-Not-At-Random Implicit
  Feedback
Unbiased Recommender Learning from Missing-Not-At-Random Implicit FeedbackWeb Search and Data Mining (WSDM), 2019
Yuta Saito
Suguru Yaginuma
Yuta Nishino
Hayato Sakata
Kazuhide Nakata
CML
277
287
0
09 Sep 2019
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation
  Learning via Mutual Information Maximization
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information MaximizationInternational Conference on Learning Representations (ICLR), 2019
Fan-Yun Sun
Jordan Hoffmann
Vikas Verma
Jian Tang
SSL
603
949
0
31 Jul 2019
Graph Neural Networks for Social Recommendation
Graph Neural Networks for Social Recommendation
Wenqi Fan
Yao Ma
Qing Li
Yuan He
Yue Zhao
Shucheng Zhou
D. Yin
407
2,107
0
19 Feb 2019
Deep Graph Infomax
Deep Graph InfomaxInternational Conference on Learning Representations (ICLR), 2018
Petar Velickovic
W. Fedus
William L. Hamilton
Pietro Lio
Yoshua Bengio
R. Devon Hjelm
GNN
454
2,725
0
27 Sep 2018
Variational Autoencoders for Collaborative Filtering
Variational Autoencoders for Collaborative Filtering
Dawen Liang
Rahul G. Krishnan
Matthew D. Hoffman
Tony Jebara
BDL
264
1,367
0
16 Feb 2018
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