Inductive Matrix Completion Based on Graph Neural Networks

26 April 2019

Papers citing "Inductive Matrix Completion Based on Graph Neural Networks"

30 / 30 papers shown

Title
Reconsidering the Performance of GAE in Link Prediction Weishuo Ma Yanbo Wang Xuben Wang Muhan Zhang 36 1 0 06 Nov 2024
Deep Generative Models for Subgraph Prediction Erfaneh Mahmoudzadeh Parmis Naddaf Kiarash Zahirnia Oliver Schulte BDL GNN 33 0 0 07 Aug 2024
Learning Scalable Structural Representations for Link Prediction with Bloom Signatures Tianyi Zhang Haoteng Yin Rongzhe Wei Pan Li Anshumali Shrivastava AI4CE 31 1 0 28 Dec 2023
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning Jing Zhu Xiang Song V. Ioannidis Danai Koutra Christos Faloutsos 62 13 0 25 Sep 2023
The Snowflake Hypothesis: Training Deep GNN with One Node One Receptive field Kun Wang Guohao Li Shilong Wang Guibin Zhang Kaidi Wang Yang You Xiaojiang Peng Keli Zhang Yang Wang 37 8 0 19 Aug 2023
Item Graph Convolution Collaborative Filtering for Inductive Recommendations Edoardo DÁmico Khalil Muhammad E. Tragos Barry Smyth N. Hurley A. Lawlor GNN 24 6 0 28 Mar 2023
SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning Haoteng Yin Muhan Zhang Jianguo Wang Pan Li 66 8 0 06 Mar 2023
Predicting Molecule-Target Interaction by Learning Biomedical Network and Molecule Representations Jinjiang Guo Jie Li 27 0 0 02 Feb 2023
$Ae^2I$ : A Double Autoencoder for Imputation of Missing Values Fuchang Gao 24 1 0 16 Jan 2023
Multi-Metric AutoRec for High Dimensional and Sparse User Behavior Data Prediction Cheng Liang Teng Huang Yi He Song Deng Di Wu Xin Luo 27 0 0 20 Dec 2022
Generalization Bounds for Inductive Matrix Completion in Low-noise Settings Antoine Ledent Rodrigo Alves Yunwen Lei Y. Guermeur Marius Kloft 23 3 0 16 Dec 2022
Data Imputation with Iterative Graph Reconstruction J. Zhong Weiwei Ye Ning Gui 11 12 0 06 Dec 2022
Situating Recommender Systems in Practice: Towards Inductive Learning and Incremental Updates Tobias Schnabel Mengting Wan Longqi Yang HAI 27 8 0 11 Nov 2022
Interpreting the Mechanism of Synergism for Drug Combinations Using Attention-Based Hierarchical Graph Pooling Zehao Dong Heming Zhang Yixin Chen Philip R. O. Payne Fuhai Li GNN 46 16 0 19 Sep 2022
SUPER-Rec: SUrrounding Position-Enhanced Representation for Recommendation Taejun Lim Siqu Long Josiah Poon S. Han 15 0 0 09 Sep 2022
Geometric Matrix Completion via Sylvester Multi-Graph Neural Network Boxin Du Changhe Yuan Fei Wang Hanghang Tong 22 1 0 19 Jun 2022
Supervised Contrastive Learning for Recommendation Chun Yang 19 37 0 10 Jan 2022
Pointspectrum: Equivariance Meets Laplacian Filtering for Graph Representation Learning Marinos Poiitis Pavlos Sermpezis Athena Vakali 31 0 0 06 Sep 2021
GLocal-K: Global and Local Kernels for Recommender Systems S. Han Taejun Lim Siqu Long Bernd Burgstaller Josiah Poon 19 44 0 27 Aug 2021
Inductive Matrix Completion Using Graph Autoencoder Wei Shen Chuheng Zhang Yunkun Tian Liang Zeng Xiaonan He Wanchun Dou Xiaolong Xu 11 24 0 25 Aug 2021
Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation Sanshi Lei Yu Zhuoxuan Jiang Dongdong Chen Shanshan Feng Dongsheng Li Qi Liu Jinfeng Yi 41 20 0 07 Jun 2021
Privileged Graph Distillation for Cold Start Recommendation Shuai Wang Kun Zhang Le Wu Haiping Ma Richang Hong Meng Wang 12 28 0 31 May 2021
Graph Classification by Mixture of Diverse Experts Fenyu Hu Liping Wang Shu Wu Liang Wang Tieniu Tan 42 10 0 29 Mar 2021
Bipartite Graph Embedding via Mutual Information Maximization Jiangxia Cao Xixun Lin Shu Guo Luchen Liu Tingwen Liu Bin Wang 80 110 0 10 Dec 2020
Graph Neural Networks in Recommender Systems: A Survey Shiwen Wu Fei Sun Wentao Zhang Xu Xie Bin Cui GNN 56 1,175 0 04 Nov 2020
Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning Muhan Zhang Pan Li Yinglong Xia Kai Wang Long Jin 19 186 0 30 Oct 2020
Modurec: Recommender Systems with Feature and Time Modulation Javier Maroto Clément Vignac P. Frossard 10 1 0 13 Oct 2020
Inductive Graph Neural Networks for Spatiotemporal Kriging Yuankai Wu Dingyi Zhuang A. Labbe Lijun Sun AI4CE 25 144 0 13 Jun 2020
Out-of-Sample Representation Learning for Multi-Relational Graphs Marjan Albooyeh Rishab Goel Seyed Mehran Kazemi OOD 21 3 0 28 Apr 2020
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs Muhan Zhang Shali Jiang Zhicheng Cui Roman Garnett Yixin Chen GNN BDL CML 32 196 0 24 Apr 2019