Graph Convolutional Neural Networks for Web-Scale Recommender Systems

6 June 2018

Papers citing "Graph Convolutional Neural Networks for Web-Scale Recommender Systems"

50 / 1,279 papers shown

Title
Implicit Feedback Deep Collaborative Filtering Product Recommendation System K. Bhaskar D. Kundur Y. Lawryshyn BDL 36 3 0 08 Sep 2020
Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering Jingtao Ding Yuhan Quan Quanming Yao Yong Li Depeng Jin 68 100 0 07 Sep 2020
GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training Tianle Cai Shengjie Luo Keyulu Xu Di He Tie-Yan Liu Liwei Wang GNN 104 167 0 07 Sep 2020
Online Disease Self-diagnosis with Inductive Heterogeneous Graph Convolutional Networks Zifeng Wang Rui Wen Xi Chen Shilei Cao Shao-Lun Huang B. Qian Yefeng Zheng 70 31 0 06 Sep 2020
Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information Enyan Dai Suhang Wang FaML 124 248 0 03 Sep 2020
Lifelong Graph Learning Chen Wang Yuheng Qiu Dasong Gao Sebastian Scherer CLL GNN AI4CE 100 51 0 01 Sep 2020
A Metamodel and Framework for AGI Hugo Latapie Özkan Kiliç 26 1 0 28 Aug 2020
Simplifying Architecture Search for Graph Neural Network Huan Zhao Lanning Wei Quanming Yao GNN AI4CE 73 53 0 26 Aug 2020
Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach Kelong Mao Xi Xiao Jieming Zhu Biao Lu Ruiming Tang Xiuqiang He 76 23 0 26 Aug 2020
Learning Node Representations against Perturbations Xu Chen Yuangang Pan Ivor Tsang Ya Zhang 32 3 0 26 Aug 2020
FeatGraph: A Flexible and Efficient Backend for Graph Neural Network Systems Yuwei Hu Zihao Ye Minjie Wang Jiali Yu Da Zheng Mu Li Zheng Zhang Zhiru Zhang Yida Wang GNN 114 81 0 26 Aug 2020
GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems Yishi Xu Yingxue Zhang Wei Guo Huifeng Guo Ruiming Tang Mark Coates CLL 92 82 0 25 Aug 2020
Towards Structured Prediction in Bioinformatics with Deep Learning Yu Li AI4CE 43 1 0 25 Aug 2020
Explainable Recommender Systems via Resolving Learning Representations Ninghao Liu Yong Ge Li Li Helen Zhou Rui Chen Soo-Hyun Choi 36 24 0 21 Aug 2020
A comparative study of similarity-based and GNN-based link prediction approaches K. Islam Sabeur Aridhi Malika Smaïl-Tabbone 42 10 0 20 Aug 2020
LGNN: A Context-aware Line Segment Detector Quan Meng Jiakai Zhang Qiang Hu Xuming He Jingyi Yu 55 25 0 13 Aug 2020
Adversarial Directed Graph Embedding Shijie Zhu Jianxin Li Hao Peng Senzhang Wang Lifang He GAN GNN 101 45 0 09 Aug 2020
Graph Neural Networks: Architectures, Stability and Transferability Luana Ruiz Fernando Gama Alejandro Ribeiro GNN 147 129 0 04 Aug 2020
Peer-inspired Student Performance Prediction in Interactive Online Question Pools with Graph Neural Network Haotian Li Huan Wei Yong Wang Yangqiu Song Huamin Qu AI4Ed 162 32 0 04 Aug 2020
Embedding Ranking-Oriented Recommender System Graphs Taher Hekmatfar Saman Haratizadeh S. Goliaei 37 7 0 31 Jul 2020
Hierarchical BiGraph Neural Network as Recommendation Systems Dom Huh 39 1 0 27 Jul 2020
MetAL: Active Semi-Supervised Learning on Graphs via Meta Learning Kaushalya Madhawa T. Murata AI4CE 70 8 0 22 Jul 2020
MathNet: Haar-Like Wavelet Multiresolution-Analysis for Graph Representation and Learning Xuebin Zheng Bingxin Zhou Ming Li Yu Guang Wang Junbin Gao 67 2 0 22 Jul 2020
Simplification of Graph Convolutional Networks: A Matrix Factorization-based Perspective Qiang Liu Haoli Zhang Zhaocheng Liu GNN 124 3 0 17 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 103 69 0 16 Jul 2020
Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning Shauharda Khadka Estelle Aflalo Mattias Marder Avrech Ben-David Santiago Miret Shie Mannor Tamir Hazan Hanlin Tang Somdeb Majumdar GNN 71 11 0 14 Jul 2020
Node Copying for Protection Against Graph Neural Network Topology Attacks Florence Regol Soumyasundar Pal Mark Coates AAML GNN 112 1 0 09 Jul 2020
Learning Graph Structure With A Finite-State Automaton Layer Daniel D. Johnson Hugo Larochelle Daniel Tarlow GNN AI4CE 77 17 0 09 Jul 2020
Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering Approach Qitian Wu Hengrui Zhang Xiao-Zhi Gao Junchi Yan H. Zha CML 53 43 0 09 Jul 2020
Graph Convolutional Networks for Graphs Containing Missing Features Hibiki Taguchi Xin Liu T. Murata GNN 111 93 0 09 Jul 2020
Adversarial learning for product recommendation Joel R. Bock A. Maewal GAN CML 20 10 0 07 Jul 2020
PinnerSage: Multi-Modal User Embedding Framework for Recommendations at Pinterest Aditya Pal Chantat Eksombatchai Yitong Zhou Bo Zhao Charles R. Rosenberg J. Leskovec 63 138 0 07 Jul 2020
RGCF: Refined Graph Convolution Collaborative Filtering with concise and expressive embedding Kang Liu Feng Xue Richang Hong GNN 35 9 0 07 Jul 2020
ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction Zhong Hao Chengqiang Lu Zheyuan Hu Hongya Wang Zhenya Huang Qi Liu Enhong Chen Cheekong Lee 135 140 0 07 Jul 2020
GE-SpMM: General-purpose Sparse Matrix-Matrix Multiplication on GPUs for Graph Neural Networks Guyue Huang Guohao Dai Yu Wang Huazhong Yang GNN 68 124 0 07 Jul 2020
Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural Networks Amol Kapoor X. Ben Luyang Liu Bryan Perozzi Matt Barnes Martin J. Blais S. O’Banion 78 196 0 06 Jul 2020
Learning Color Compatibility in Fashion Outfits Heming Zhang Xuewen Yang Jianchao Tan Chi-Hao Wu Jue Wang C.-C. Jay Kuo 51 12 0 05 Jul 2020
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks Xiao Wang Meiqi Zhu Deyu Bo Peng Cui C. Shi J. Pei BDL 139 495 0 05 Jul 2020
Simple and Deep Graph Convolutional Networks Ming Chen Zhewei Wei Zengfeng Huang Bolin Ding Yaliang Li GNN 162 1,507 0 04 Jul 2020
AEGCN: An Autoencoder-Constrained Graph Convolutional Network Mingyuan Ma Sen Na Hongyu Wang GNN 70 30 0 03 Jul 2020
Disentangled Graph Collaborative Filtering Xiang Wang Hongye Jin An Zhang Xiangnan He Tong Xu Tat-Seng Chua 110 554 0 03 Jul 2020
Adaptive Graph Encoder for Attributed Graph Embedding Ganqu Cui Jie Zhou Cheng Yang Zhiyuan Liu 149 226 0 03 Jul 2020
Scaling Graph Neural Networks with Approximate PageRank Aleksandar Bojchevski Johannes Klicpera Bryan Perozzi Amol Kapoor Martin J. Blais Benedek Rozemberczki Michal Lukasik Stephan Günnemann GNN 173 376 0 03 Jul 2020
MIRA: Leveraging Multi-Intention Co-click Information in Web-scale Document Retrieval using Deep Neural Networks Yusi Zhang Chuanjie Liu Angen Luo Hui Xue Xuan Shan Y. Luo Yiqian Xia Yuanchi Yan Haidong Wang 90 6 0 03 Jul 2020
Graph Neural Networks Including Sparse Interpretability Chris Lin Gerald J. Sun K. Bulusu J. Dry Marylens Hernandez 49 8 0 30 Jun 2020
Graph Clustering with Graph Neural Networks Anton Tsitsulin John Palowitch Bryan Perozzi Emmanuel Müller GNN AI4CE 121 270 0 30 Jun 2020
Approximating Network Centrality Measures Using Node Embedding and Machine Learning Matheus R. F. Mendonça André Barreto A. Ziviani GNN 71 21 0 29 Jun 2020
Investigating and Mitigating Degree-Related Biases in Graph Convolutional Networks Xianfeng Tang Huaxiu Yao Yiwei Sun Yiqi Wang Jiliang Tang Charu C. Aggarwal P. Mitra Suhang Wang 63 2 0 28 Jun 2020
Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters Wenhui Yu Zheng Qin GNN 83 94 0 28 Jun 2020
GPT-GNN: Generative Pre-Training of Graph Neural Networks Ziniu Hu Yuxiao Dong Kuansan Wang Kai-Wei Chang Yizhou Sun SSL AI4CE 174 567 0 27 Jun 2020