Graph Convolutional Matrix Completion

7 June 2017

Papers citing "Graph Convolutional Matrix Completion"

50 / 128 papers shown

Title
Valid Conformal Prediction for Dynamic GNNs Ed Davis Ian Gallagher Daniel J. Lawson Patrick Rubin-Delanchy AI4CE 40 3 0 29 May 2024
Revealing and Utilizing In-group Favoritism for Graph-based Collaborative Filtering H. Jung Hyunsoo Cho Myungje Choi Joowon Lee Jung Ho Park Myungjoo Kang 31 0 0 23 Apr 2024
Improving Matrix Completion by Exploiting Rating Ordinality in Graph Neural Networks Jaehyun Lee Seonku Kang Hwanjo Yu 25 2 0 07 Mar 2024
Graph Fairness Learning under Distribution Shifts Yibo Li Xiao Wang Yujie Xing Shaohua Fan Ruijia Wang Yaoqi Liu Chuan Shi OOD 39 7 0 30 Jan 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
Improving One-class Recommendation with Multi-tasking on Various Preference Intensities Chu-Jen Shao Hao-Ming Fu Pu-Jen Cheng 16 1 0 18 Jan 2024
EfficientRec an unlimited user-item scale recommendation system based on clustering and users interaction embedding profile Vu Hong Quan Le Hoang Ngan Le Minh Duc Nguyen Tran Ngoc Linh Hoang-Quynh Le 11 0 0 18 Jan 2024
QoS-Aware Graph Contrastive Learning for Web Service Recommendation Jeongwhan Choi Duksan Ryu 25 2 0 06 Jan 2024
Graph Neural Ordinary Differential Equations-based method for Collaborative Filtering Ke Xu Yuanjie Zhu Weizhi Zhang Philip S. Yu BDL GNN 26 4 0 21 Nov 2023
Compositional Fusion of Signals in Data Embedding Zhijin Guo Zhaozhen Xu Martha Lewis N. Cristianini 19 0 0 18 Nov 2023
Question Answering with Deep Neural Networks for Semi-Structured Heterogeneous Genealogical Knowledge Graphs Omri Suissa M. Zhitomirsky-Geffet Avshalom Elmalech GNN BDL 29 8 0 30 Jul 2023
GNN4FR: A Lossless GNN-based Federated Recommendation Framework Guowei Wu Weike Pan Zhong Ming FedML 46 2 0 25 Jul 2023
Knowledge Graph Self-Supervised Rationalization for Recommendation Yuhao Yang Chao Huang Lianghao Xia Chunzhen Huang 27 88 0 06 Jul 2023
A Survey on Graph Classification and Link Prediction based on GNN Xingyu Liu Juan Chen Q. Wen GNN 26 10 0 03 Jul 2023
FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks Xinyu Fu Irwin King FedML 41 4 0 16 May 2023
An Empirical Study of Realized GNN Expressiveness Yanbo Wang Muhan Zhang 42 10 0 16 Apr 2023
GIF: A General Graph Unlearning Strategy via Influence Function Jiancan Wu Yi Yang Yuchun Qian Yongduo Sui Xiang Wang Xiangnan He MU 30 50 0 06 Apr 2023
Item Graph Convolution Collaborative Filtering for Inductive Recommendations Edoardo DÁmico Khalil Muhammad E. Tragos Barry Smyth N. Hurley A. Lawlor GNN 16 6 0 28 Mar 2023
Decision Support System for Chronic Diseases Based on Drug-Drug Interactions Tian Bian Yuli Jiang Jia Li Tingyang Xu Yu Rong Yi Su Timothy S. H. Kwok Helen Meng Hongtao Cheng 27 3 0 04 Mar 2023
$Ae^2I$ : A Double Autoencoder for Imputation of Missing Values Fuchang Gao 24 1 0 16 Jan 2023
Time-aware Hyperbolic Graph Attention Network for Session-based Recommendation Xiaohan Li Yuqing Liu Zheng Liu Philip S. Yu 33 7 0 10 Jan 2023
A Hypergraph Neural Network Framework for Learning Hyperedge-Dependent Node Embeddings Ryan Aponte Ryan A. Rossi Shunan Guo Jane Hoffswell Nedim Lipka Chang Xiao G. Chan E. Koh Nesreen Ahmed GNN 27 11 0 28 Dec 2022
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
Multi-Task Edge Prediction in Temporally-Dynamic Video Graphs Osman Ulger Julian Wiederer Mohsen Ghafoorian Vasileios Belagiannis Pascal Mettes 40 0 0 06 Dec 2022
Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature K. Nguyen Hieu Nong T. Nguyen Nhat Ho Khuong N. Nguyen Vinh Phu Nguyen 27 63 0 28 Nov 2022
Blurring-Sharpening Process Models for Collaborative Filtering Jeongwhan Choi Seoyoung Hong Noseong Park Sung-Bae Cho 17 39 0 17 Nov 2022
FedGRec: Federated Graph Recommender System with Lazy Update of Latent Embeddings Junyi Li Heng-Chiao Huang FedML 24 6 0 25 Oct 2022
Linkless Link Prediction via Relational Distillation Zhichun Guo William Shiao Shichang Zhang Yozen Liu Nitesh V. Chawla Neil Shah Tong Zhao 21 41 0 11 Oct 2022
Restricted Bernoulli Matrix Factorization: Balancing the trade-off between prediction accuracy and coverage in classification based collaborative filtering Ángel González-Prieto Abraham Gutiérrez Fernando Ortega R. Lara-Cabrera 31 0 0 05 Oct 2022
SUPER-Rec: SUrrounding Position-Enhanced Representation for Recommendation Taejun Lim Siqu Long Josiah Poon S. Han 15 0 0 09 Sep 2022
The Neural Process Family: Survey, Applications and Perspectives Saurav Jha Dong Gong Xuesong Wang Richard Turner L. Yao BDL 73 24 0 01 Sep 2022
Self-Supervised Hypergraph Transformer for Recommender Systems Lianghao Xia Chao Huang Chuxu Zhang 27 109 0 28 Jul 2022
Analysis and Optimization of GNN-Based Recommender Systems on Persistent Memory Yuwei Hu Jiajie Li Zhongming Yu Zhiru Zhang GNN 39 0 0 25 Jul 2022
Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems Yixin Su Yunxiang Zhao S. Erfani Junhao Gan Rui Zhang 68 24 0 28 Jun 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
Knowledge Graph Contrastive Learning for Recommendation Yuhao Yang Chao Huang Lianghao Xia Chenliang Li 29 322 0 02 May 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
Hypergraph Contrastive Collaborative Filtering Lianghao Xia Chao Huang Yong-mei Xu Jiashu Zhao Dawei Yin J. Huang 28 304 0 26 Apr 2022
Neural Processes with Stochastic Attention: Paying more attention to the context dataset Mingyu Kim Kyeongryeol Go Se-Young Yun 27 20 0 11 Apr 2022
Graph Neural Networks in IoT: A Survey Guimin Dong Mingyue Tang Zhiyuan Wang Jiechao Gao Sikun Guo Lihua Cai Robert Gutierrez Brad Campbell Laura E. Barnes M. Boukhechba GNN AI4CE 40 96 0 29 Mar 2022
MoReL: Multi-omics Relational Learning Arman Hasanzadeh Ehsan Hajiramezanali N. Duffield Xiaoning Qian 14 7 0 15 Mar 2022
Simultaneous Learning of the Inputs and Parameters in Neural Collaborative Filtering Ramin Raziperchikolaei Young-joo Chung 27 2 0 14 Mar 2022
Neural Message Passing for Objective-Based Uncertainty Quantification and Optimal Experimental Design Qihua Chen Xuejin Chen Hyun-Myung Woo Byung-Jun Yoon 23 2 0 14 Mar 2022
Supervised Contrastive Learning for Recommendation Chun Yang 13 37 0 10 Jan 2022
Matrix Completion with Hierarchical Graph Side Information Adel M. Elmahdy Junhyung Ahn Changho Suh S. Mohajer 15 15 0 02 Jan 2022
Deformable Graph Convolutional Networks Jinyoung Park Sungdong Yoo Jihwan Park Hyunwoo J. Kim GNN 27 13 0 29 Dec 2021
Model Stealing Attacks Against Inductive Graph Neural Networks Yun Shen Xinlei He Yufei Han Yang Zhang 19 60 0 15 Dec 2021
Efficient Dynamic Graph Representation Learning at Scale Xinshi Chen Yan Zhu Haowen Xu Mengya Liu Liang Xiong Muhan Zhang Le Song 14 7 0 14 Dec 2021
MAGIC: Multimodal relAtional Graph adversarIal inferenCe for Diverse and Unpaired Text-based Image Captioning Wenqiao Zhang Haochen Shi Jiannan Guo Shengyu Zhang Qingpeng Cai Juncheng Li Sihui Luo Yueting Zhuang DiffM 26 46 0 13 Dec 2021
A Multi-Strategy based Pre-Training Method for Cold-Start Recommendation Bowen Hao Hongzhi Yin Jing Zhang Cuiping Li Hong Chen 29 22 0 04 Dec 2021