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Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering Approach
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Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering Approach

International Conference on Machine Learning (ICML), 2020
Qitian Wu
Hengrui Zhang
Xiao-Zhi Gao
Junchi Yan
H. Zha
    CML
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Papers citing "Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering Approach"

17 / 17 papers shown
Title
Unifying Inductive, Cross-Domain, and Multimodal Learning for Robust and Generalizable Recommendation
Unifying Inductive, Cross-Domain, and Multimodal Learning for Robust and Generalizable Recommendation
Chanyoung Chung
Kyeongryul Lee
Sunbin Park
Joyce Jiyoung Whang
HAI
16
0
0
21 Oct 2025
Multi-Channel Hypergraph Contrastive Learning for Matrix Completion
Multi-Channel Hypergraph Contrastive Learning for Matrix Completion
Xiang Li
Changsheng Shui
Yanwei Yu
Chao Huang
Zhongying Zhao
182
0
0
02 Nov 2024
Improved Diversity-Promoting Collaborative Metric Learning for Recommendation
Improved Diversity-Promoting Collaborative Metric Learning for RecommendationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Shilong Bao
Qianqian Xu
Zhiyong Yang
Yuan He
Xiaochun Cao
Qingming Huang
237
9
0
02 Sep 2024
One Subgraph for All: Efficient Reasoning on Opening Subgraphs for Inductive Knowledge Graph Completion
One Subgraph for All: Efficient Reasoning on Opening Subgraphs for Inductive Knowledge Graph Completion
Zhiwen Xie
Yi Zhang
Guangyou Zhou
Jin Liu
Xinhui Tu
Xiangji Huang
LRM
140
13
0
24 Apr 2024
Inductive Cognitive Diagnosis for Fast Student Learning in Web-Based Online Intelligent Education Systems
Inductive Cognitive Diagnosis for Fast Student Learning in Web-Based Online Intelligent Education Systems
Shuo Liu
Junhao Shen
Hong Qian
Aimin Zhou
AI4Ed
121
30
0
17 Apr 2024
Towards Open-world Cross-Domain Sequential Recommendation: A Model-Agnostic Contrastive Denoising Approach
Towards Open-world Cross-Domain Sequential Recommendation: A Model-Agnostic Contrastive Denoising Approach
Wujiang Xu
Xuying Ning
Wenfang Lin
Mingming Ha
Qiongxu Ma
Qianqiao Liang
Xuewen Tao
Lin Chen
Bing Han
Minnan Luo
143
8
0
08 Nov 2023
QKSAN: A Quantum Kernel Self-Attention Network
QKSAN: A Quantum Kernel Self-Attention NetworkIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Ren-Xin Zhao
Jinjing Shi
Xuelong Li
168
44
0
25 Aug 2023
Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation
Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item RecommendationACM Conference on Recommender Systems (RecSys), 2023
Dongyuan Li
Liangwei Yang
Chen Wang
Zhiwei Liu
Hao Peng
Chenyu You
Philip S. Yu
89
26
0
26 Jun 2023
GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks
GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural NetworksKnowledge Discovery and Data Mining (KDD), 2023
Wentao Zhao
Qitian Wu
Chenxiao Yang
Junchi Yan
148
17
0
20 Jun 2023
NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification
NodeFormer: A Scalable Graph Structure Learning Transformer for Node ClassificationNeural Information Processing Systems (NeurIPS), 2023
Qitian Wu
Wentao Zhao
Zenan Li
David Wipf
Junchi Yan
144
300
0
14 Jun 2023
EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph Learning
EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Chao Chen
Haoyu Geng
Nianzu Yang
Yunbo Wang
Junchi Yan
159
10
0
22 Mar 2023
Graph Signal Sampling for Inductive One-Bit Matrix Completion: a Closed-form Solution
Graph Signal Sampling for Inductive One-Bit Matrix Completion: a Closed-form SolutionInternational Conference on Learning Representations (ICLR), 2023
Chao Chen
Haoyu Geng
Gang Zeng
Zhaobing Han
Hua Chai
Yunbo Wang
Junchi Yan
97
2
0
08 Feb 2023
Generalization Bounds for Inductive Matrix Completion in Low-noise Settings
Generalization Bounds for Inductive Matrix Completion in Low-noise SettingsAAAI Conference on Artificial Intelligence (AAAI), 2022
Antoine Ledent
Rodrigo Alves
Yunwen Lei
Y. Guermeur
Matthias Kirchler
188
4
0
16 Dec 2022
The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm
The Minority Matters: A Diversity-Promoting Collaborative Metric Learning AlgorithmNeural Information Processing Systems (NeurIPS), 2022
Shilong Bao
Qianqian Xu
Zhiyong Yang
Yuan He
Xiaochun Cao
Qingming Huang
123
9
0
30 Sep 2022
SUPER-Rec: SUrrounding Position-Enhanced Representation for Recommendation
Taejun Lim
Siqu Long
Josiah Poon
S. Han
107
0
0
09 Sep 2022
Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach
Towards Open-World Feature Extrapolation: An Inductive Graph Learning ApproachNeural Information Processing Systems (NeurIPS), 2021
Qitian Wu
Chenxiao Yang
Junchi Yan
117
35
0
09 Oct 2021
Open-world Machine Learning: Applications, Challenges, and Opportunities
Open-world Machine Learning: Applications, Challenges, and OpportunitiesACM Computing Surveys (CSUR), 2021
Jitendra Parmar
S. Chouhan
Vaskar Raychoudhury
S. Rathore
OffRL
160
104
0
27 May 2021

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