Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks

22 April 2017

Papers citing "Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks"

50 / 84 papers shown

Title
Effects of Random Edge-Dropping on Over-Squashing in Graph Neural Networks Jasraj Singh Keyue Jiang Brooks Paige Laura Toni 70 1 0 11 Feb 2025
Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation Yuyang Ye Zhi Zheng Yishan Shen Tianshu Wang Hengruo Zhang Peijun Zhu Runlong Yu Kai Zhang Hui Xiong 42 7 0 19 Aug 2024
Continuous Product Graph Neural Networks Aref Einizade Fragkiskos D. Malliaros Jhony H. Giraldo 34 1 0 29 May 2024
Beyond RMSE and MAE: Introducing EAUC to unmask hidden bias and unfairness in dyadic regression models Jorge Paz-Ruza Amparo Alonso-Betanzos B. Guijarro-Berdiñas Brais Cancela Carlos Eiras-Franco 56 2 0 19 Jan 2024
NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams Chaoyi Chen Dechao Gao Yanfeng Zhang Qiange Wang Zhenbo Fu Xuecang Zhang Junhua Zhu Yu Gu Ge Yu GNN 43 5 0 05 Dec 2023
Adaptive Depth Graph Attention Networks Jingbo Zhou Yixuan Du Ruqiong Zhang Rui Zhang GNN 36 1 0 16 Jan 2023
A Generalization of ViT/MLP-Mixer to Graphs Xiaoxin He Bryan Hooi T. Laurent Adam Perold Yann LeCun Xavier Bresson 47 88 0 27 Dec 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 43 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
ODformer: Spatial-Temporal Transformers for Long Sequence Origin-Destination Matrix Forecasting Against Cross Application Scenario Jin Huang Bosong Huang Weihao Yu Jing Xiao Ruzhong Xie Ke Ruan AI4TS 16 23 0 17 Aug 2022
Geometric Matrix Completion via Sylvester Multi-Graph Neural Network Boxin Du Changhe Yuan Fei-Yue Wang Hanghang Tong 22 1 0 19 Jun 2022
Discovering Representative Attribute-stars via Minimum Description Length Jiahong Liu Min Zhou Philippe Fournier-Viger Menglin Yang Lujia Pan M. Nouioua 22 7 0 27 Apr 2022
MoReL: Multi-omics Relational Learning Arman Hasanzadeh Ehsan Hajiramezanali N. Duffield Xiaoning Qian 14 7 0 15 Mar 2022
PaSca: a Graph Neural Architecture Search System under the Scalable Paradigm Wentao Zhang Yu Shen Zheyu Lin Yang Li Xiaosen Li Wenbin Ouyang Yangyu Tao Zhi-Xin Yang Bin Cui GNN 37 59 0 01 Mar 2022
Robust Graph Representation Learning for Local Corruption Recovery Bingxin Zhou Yuanhong Jiang Yu Guang Wang Jingwei Liang Junbin Gao Shirui Pan Xiaoqun Zhang OOD 36 12 0 10 Feb 2022
Learning Mechanically Driven Emergent Behavior with Message Passing Neural Networks Peerasait Prachaseree Emma Lejeune PINN AI4CE 33 11 0 03 Feb 2022
Decoupling the Depth and Scope of Graph Neural Networks Hanqing Zeng Muhan Zhang Yinglong Xia Ajitesh Srivastava Andrey Malevich R. Kannan Viktor Prasanna Long Jin Ren Chen GNN 33 142 0 19 Jan 2022
Budget-aware Few-shot Learning via Graph Convolutional Network Shipeng Yan Songyang Zhang Xuming He 11 6 0 07 Jan 2022
Matrix Completion with Hierarchical Graph Side Information Adel M. Elmahdy Junhyung Ahn Changho Suh S. Mohajer 15 15 0 02 Jan 2022
Efficient Dynamic Graph Representation Learning at Scale Xinshi Chen Yan Zhu Haowen Xu Mengya Liu Liang Xiong Muhan Zhang Le Song 16 7 0 14 Dec 2021
On the Unreasonable Effectiveness of Feature propagation in Learning on Graphs with Missing Node Features Emanuele Rossi Henry Kenlay Maria I. Gorinova B. Chamberlain Xiaowen Dong M. Bronstein 25 87 0 23 Nov 2021
AIR-Net: Adaptive and Implicit Regularization Neural Network for Matrix Completion Zhemin Li Tao Sun Hongxia Wang Bao Wang 47 6 0 12 Oct 2021
Inductive learning for product assortment graph completion Haris Dukic Georgios Deligiorgis Pierpaolo Sepe D. Bacciu Marco Trincavelli CML 22 1 0 04 Oct 2021
Search For Deep Graph Neural Networks Guosheng Feng Chunnan Wang Hongzhi Wang GNN 32 23 0 21 Sep 2021
On the Fundamental Limits of Matrix Completion: Leveraging Hierarchical Similarity Graphs Junhyung Ahn Adel M. Elmahdy S. Mohajer Changho Suh 22 7 0 12 Sep 2021
Border-SegGCN: Improving Semantic Segmentation by Refining the Border Outline using Graph Convolutional Network Naina Dhingra G. Chogovadze A. Kunz 27 6 0 11 Sep 2021
GLocal-K: Global and Local Kernels for Recommender Systems S. Han Taejun Lim Siqu Long Bernd Burgstaller Josiah Poon 11 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
Graph Neural Networks: Methods, Applications, and Opportunities Lilapati Waikhom Ripon Patgiri GNN 37 42 0 24 Aug 2021
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study Tianlong Chen Kaixiong Zhou Keyu Duan Wenqing Zheng Peihao Wang Xia Hu Zhangyang Wang AAML GNN 27 61 0 24 Aug 2021
Development of Human Motion Prediction Strategy using Inception Residual Block Shekhar Gupta G. Yadav G. C. Nandi 3DH 23 3 0 09 Aug 2021
A Framework for Joint Unsupervised Learning of Cluster-Aware Embedding for Heterogeneous Networks R. A. Khan M. Kleinsteuber 24 3 0 09 Aug 2021
Evaluating Deep Graph Neural Networks Wentao Zhang Zeang Sheng Yuezihan Jiang Yikuan Xia Jun Gao Zhi-Xin Yang Bin Cui GNN AI4CE 21 31 0 02 Aug 2021
Wide and Deep Graph Neural Network with Distributed Online Learning Zhan Gao Fernando Gama Alejandro Ribeiro GNN 44 26 0 19 Jul 2021
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks Kaixiong Zhou Xiao Shi Huang Daochen Zha Rui Chen Li Li Soo-Hyun Choi Xia Hu GNN AI4CE 27 114 0 06 Jul 2021
Planning Spatial Networks with Monte Carlo Tree Search Victor-Alexandru Darvariu Stephen Hailes Mirco Musolesi 27 7 0 12 Jun 2021
GMLP: Building Scalable and Flexible Graph Neural Networks with Feature-Message Passing Wentao Zhang Yu Shen Zheyu Lin Yang Li Xiaosen Li Wenbin Ouyang Yangyu Tao Zhi-Xin Yang Bin Cui 24 9 0 20 Apr 2021
Are deep learning models superior for missing data imputation in large surveys? Evidence from an empirical comparison Zhenhua Wang O. Akande Jason Poulos Fan Li BDL 15 22 0 14 Mar 2021
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 25 115 0 16 Dec 2020
Decimated Framelet System on Graphs and Fast G-Framelet Transforms Xuebin Zheng Bingxin Zhou Yu Guang Wang Xiaosheng Zhuang 40 35 0 12 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
Neural Architecture Performance Prediction Using Graph Neural Networks Jovita Lukasik David Friede Heiner Stuckenschmidt M. Keuper GNN AI4CE 43 10 0 19 Oct 2020
Modurec: Recommender Systems with Feature and Time Modulation Javier Maroto Clément Vignac P. Frossard 10 1 0 13 Oct 2020
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators S. Abadal Akshay Jain Robert Guirado Jorge López-Alonso Eduard Alarcón GNN 30 225 0 30 Sep 2020
Graph Neural Networks: Architectures, Stability and Transferability Luana Ruiz Fernando Gama Alejandro Ribeiro GNN 53 122 0 04 Aug 2020
Graph signal processing for machine learning: A review and new perspectives Xiaowen Dong D. Thanou Laura Toni M. Bronstein P. Frossard 19 153 0 31 Jul 2020
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs Dasol Hwang Jinyoung Park Sunyoung Kwon KyungHyun Kim Jung-Woo Ha Hyunwoo J. Kim 36 67 0 16 Jul 2020
Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters Wenhui Yu Zheng Qin GNN 24 92 0 28 Jun 2020
Geometric graphs from data to aid classification tasks with graph convolutional networks Yifan Qian P. Expert P. Panzarasa Mauricio Barahona GNN 25 9 0 08 May 2020
Privacy-Aware Recommender Systems Challenge on Twitter's Home Timeline Luca Belli S. Ktena Alykhan Tejani A. Lung-Yut-Fong Frank Portman ... Gabriele Sottocornola Walter Anelli N. Andrade Jessie J. Smith Wenzhe Shi AI4TS 10 10 0 28 Apr 2020