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

Title
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 Xiang Li Changsheng Shui Yanwei Yu Chao Huang Zhongying Zhao 182 0 0 02 Nov 2024
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 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 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 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 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 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 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 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 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 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 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 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 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 OpportunitiesACM Computing Surveys (CSUR), 2021 Jitendra Parmar S. Chouhan Vaskar Raychoudhury S. Rathore OffRL 160 106 0 27 May 2021