Graph Convolutional Neural Networks for Web-Scale Recommender Systems

6 June 2018

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

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Title
Medical Entity Disambiguation Using Graph Neural Networks Alina Vretinaris Chuan Lei Vasilis Efthymiou X. Qin Fatma Özcan 65 39 0 03 Apr 2021
Graph Intention Network for Click-through Rate Prediction in Sponsored Search Feng Li Zhenrui Chen Pengjie Wang Yi Ren Di Zhang Xiaoyu Zhu GNN 59 58 0 30 Mar 2021
Graph Unlearning Min Chen Zhikun Zhang Tianhao Wang Michael Backes Mathias Humbert Yang Zhang MU 106 149 0 27 Mar 2021
Bag of Tricks for Node Classification with Graph Neural Networks Yangkun Wang Jiarui Jin Weinan Zhang Yong Yu Zheng Zhang David Wipf 106 56 0 24 Mar 2021
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs Weihua Hu Matthias Fey Hongyu Ren Maho Nakata Yuxiao Dong J. Leskovec AI4CE 111 415 0 17 Mar 2021
Dual Side Deep Context-aware Modulation for Social Recommendation Bairan Fu Wenming Zhang Guangneng Hu Xinyu Dai Shujian Huang Jiajun Chen 46 49 0 16 Mar 2021
Metapaths guided Neighbors aggregated Network for?Heterogeneous Graph Reasoning Bang Lin Xiuchong Wang Yu Dong Chengfu Huo Weijun Ren Chuanyu Xu 37 2 0 11 Mar 2021
Sampling methods for efficient training of graph convolutional networks: A survey Xin Liu Yurui Lai Lei Deng Guoqi Li Xiaochun Ye Xiaochun Ye GNN 86 105 0 10 Mar 2021
Graph Convolutional Embeddings for Recommender Systems P. G. Duran Alexandros Karatzoglou Jordi Vitrià Xin Xin Ioannis Arapakis GNN AI4TS 37 11 0 05 Mar 2021
Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture S. Min Kun Wu Sitao Huang Mert Hidayetouglu Jinjun Xiong Eiman Ebrahimi Deming Chen Wen-mei W. Hwu GNN 100 69 0 04 Mar 2021
On the Importance of Sampling in Training GCNs: Tighter Analysis and Variance Reduction Weilin Cong M. Ramezani M. Mahdavi 62 5 0 03 Mar 2021
A Biased Graph Neural Network Sampler with Near-Optimal Regret Qingru Zhang David Wipf Quan Gan Le Song 129 24 0 01 Mar 2021
CogDL: A Comprehensive Library for Graph Deep Learning Yukuo Cen Zhenyu Hou Yan Wang Qibin Chen Yi Luo ... Guohao Dai Yu Wang Chang Zhou Hongxia Yang Jie Tang GNN AI4CE 132 17 0 01 Mar 2021
Automated Machine Learning on Graphs: A Survey Ziwei Zhang Xin Eric Wang Wenwu Zhu 109 87 0 01 Mar 2021
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning Yixin Liu Zhao Li Shirui Pan Chen Gong Chuan Zhou George Karypis 125 307 0 27 Feb 2021
Towards a Unified Framework for Fair and Stable Graph Representation Learning Chirag Agarwal Himabindu Lakkaraju Marinka Zitnik 183 163 0 25 Feb 2021
Genetic Meta-Structure Search for Recommendation on Heterogeneous Information Network Zhenyu Han Fengli Xu Jinghan Shi Yunfei Shang Haorui Ma Pan Hui Yong Li 70 31 0 21 Feb 2021
Generalization bounds for graph convolutional neural networks via Rademacher complexity Shaogao Lv GNN 120 16 0 20 Feb 2021
Dynamic Memory based Attention Network for Sequential Recommendation Qiaoyu Tan Jianwei Zhang Ninghao Liu Xiao Shi Huang Hongxia Yang Jingren Zhou Helen Zhou HAI 168 66 0 18 Feb 2021
Training Large-Scale News Recommenders with Pretrained Language Models in the Loop Shitao Xiao Zheng Liu Yingxia Shao Tao Di Xing Xie VLM AIFin 186 42 0 18 Feb 2021
Sparse-Interest Network for Sequential Recommendation Qiaoyu Tan Jianwei Zhang Jiangchao Yao Ninghao Liu Jingren Zhou Hongxia Yang Helen Zhou 135 141 0 18 Feb 2021
GraphGallery: A Platform for Fast Benchmarking and Easy Development of Graph Neural Networks Based Intelligent Software Jintang Li Kun Xu Liang Chen Zibin Zheng Xiao Liu GNN 26 12 0 16 Feb 2021
User Embedding based Neighborhood Aggregation Method for Inductive Recommendation Rahul Ragesh Sundararajan Sellamanickam Vijay Lingam Arun Shankar Iyer Ramakrishna Bairi GNN 67 6 0 15 Feb 2021
Relation-aware Graph Attention Model With Adaptive Self-adversarial Training Xiao Qin Nasrullah Sheikh B. Reinwald Lingfei Wu 107 32 0 14 Feb 2021
Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization Aseem Baranwal Kimon Fountoulakis Aukosh Jagannath OODD 152 76 0 13 Feb 2021
Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks Hansheng Xue Luwei Yang Vaibhav Rajan Wen Jiang Yi Wei Yu Lin GNN 46 48 0 12 Feb 2021
A Comparison of Deep-Learning Methods for Analysing and Predicting Business Processes Ishwar Venugopal Jessica Töllich Michael Fairbank A. Scherp 65 31 0 11 Feb 2021
A Metamodel and Framework for Artificial General Intelligence From Theory to Practice Hugo Latapie Özkan Kiliç Gaowen Liu Yan Yan Ramana Rao Kompella Pei Wang K. Thórisson Adam Lawrence Yuhong Sun Jayanth Srinivasa AI4CE 61 9 0 11 Feb 2021
Dual-embedding based Neural Collaborative Filtering for Recommender Systems Gongshan He Dongxing Zhao Li Ding FedML 43 3 0 04 Feb 2021
Reinforced Contact Tracing and Epidemic Intervention Tao Feng Sirui Song Tong Xia Yong Li 26 3 0 04 Feb 2021
Causal Collaborative Filtering Shuyuan Xu Yingqiang Ge Yunqi Li Zuohui Fu Xu Chen Yongfeng Zhang CML 116 48 0 03 Feb 2021
RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation Cheng-Mao Hsu Cheng-Te Li 59 73 0 29 Jan 2021
Identity-aware Graph Neural Networks Jiaxuan You Jonathan M. Gomes-Selman Rex Ying J. Leskovec 69 259 0 25 Jan 2021
Advances and Challenges in Conversational Recommender Systems: A Survey Chongming Gao Wenqiang Lei Xiangnan He Maarten de Rijke Tat-Seng Chua 255 283 0 23 Jan 2021
Marius: Learning Massive Graph Embeddings on a Single Machine J. Mohoney R. Waleffe Yiheng Xu Theodoros Rekatsinas Shivaram Venkataraman GNN 147 63 0 20 Jan 2021
PyTorch-Direct: Enabling GPU Centric Data Access for Very Large Graph Neural Network Training with Irregular Accesses S. Min Kun Wu Sitao Huang Mert Hidayetouglu Jinjun Xiong Eiman Ebrahimi Deming Chen Wen-mei W. Hwu GNN AI4CE 58 24 0 20 Jan 2021
Communication-Efficient Sampling for Distributed Training of Graph Convolutional Networks Peng Jiang Masuma Akter Rumi GNN 51 7 0 19 Jan 2021
Dynamic Planning of Bicycle Stations in Dockless Public Bicycle-sharing System Using Gated Graph Neural Network Jianguo Chen KenLi Li Keqin Li Philip S. Yu Zeng Zeng 126 85 0 19 Jan 2021
Hybrid Quantum-Classical Graph Convolutional Network Samuel Yen-Chi Chen T. Wei Chao Zhang Haiwang Yu Shinjae Yoo GNN 83 36 0 15 Jan 2021
Dynamic Graph Collaborative Filtering Xiaohan Li Mengqi Zhang Shu Wu Zheng Liu Liang Wang Philip S. Yu 156 71 0 08 Jan 2021
User Response Prediction in Online Advertising Zhabiz Gharibshah Xingquan Zhu OffRL 115 50 0 07 Jan 2021
Taxonomy Completion via Triplet Matching Network Jieyu Zhang Xiangchen Song Ying Zeng Jiaze Chen Jiaming Shen Yuning Mao Lei Li 104 42 0 06 Jan 2021
Hop-Hop Relation-aware Graph Neural Networks Li Zhang Yan Ge Haiping Lu GNN 60 8 0 21 Dec 2020
Semi-supervised Hyperspectral Image Classification with Graph Clustering Convolutional Networks Hao Zeng Qingjie Liu Mingming Zhang Xiaoqing Han Yunhong Wang GNN 105 16 0 20 Dec 2020
Analyzing the Performance of Graph Neural Networks with Pipe Parallelism M. Dearing Xiaoyang Sean Wang GNN AI4CE 23 3 0 20 Dec 2020
An Experimental Study of the Transferability of Spectral Graph Networks Axel Nilsson Xavier Bresson 63 3 0 18 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 170 125 0 16 Dec 2020
Hierarchical Graph Capsule Network Jinyu Yang P. Zhao Yu Rong Chao-chao Yan Chunyuan Li Hehuan Ma Junzhou Huang 69 31 0 16 Dec 2020
Compilation Techniques for Graph Algorithms on GPUs Ajay Brahmakshatriya Yunming Zhang Changwan Hong Shoaib Kamil Julian Shun Saman P. Amarasinghe GNN 53 0 0 14 Dec 2020
Bipartite Graph Embedding via Mutual Information Maximization Jiangxia Cao Xixun Lin Shu Guo Luchen Liu Tingwen Liu Bin Wang 135 113 0 10 Dec 2020