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
Sparse-Interest Network for Sequential Recommendation Qiaoyu Tan Jianwei Zhang Jiangchao Yao Ninghao Liu Jingren Zhou Hongxia Yang Xia Hu 79 130 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 11 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 19 6 0 15 Feb 2021
Relation-aware Graph Attention Model With Adaptive Self-adversarial Training Xiao Qin Nasrullah Sheikh B. Reinwald Lingfei Wu 53 30 0 14 Feb 2021
Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization Aseem Baranwal K. Fountoulakis Aukosh Jagannath OODD 39 75 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 8 46 0 12 Feb 2021
A Comparison of Deep-Learning Methods for Analysing and Predicting Business Processes Ishwar Venugopal Jessica Töllich Michael Fairbank A. Scherp 26 30 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 20 9 0 11 Feb 2021
Dual-embedding based Neural Collaborative Filtering for Recommender Systems Gongshan He Dongxing Zhao Li Ding FedML 12 3 0 04 Feb 2021
Reinforced Contact Tracing and Epidemic Intervention Tao Feng Sirui Song Tong Xia Yong Li 14 3 0 04 Feb 2021
Causal Collaborative Filtering Shuyuan Xu Yingqiang Ge Yunqi Li Zuohui Fu Xu Chen Yongfeng Zhang CML 19 48 0 03 Feb 2021
RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation Cheng-Mao Hsu Cheng-Te Li 14 71 0 29 Jan 2021
Identity-aware Graph Neural Networks Jiaxuan You Jonathan M. Gomes-Selman Rex Ying J. Leskovec 16 247 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 128 272 0 23 Jan 2021
Marius: Learning Massive Graph Embeddings on a Single Machine J. Mohoney R. Waleffe Yiheng Xu Theodoros Rekatsinas Shivaram Venkataraman GNN 14 61 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 26 24 0 20 Jan 2021
Communication-Efficient Sampling for Distributed Training of Graph Convolutional Networks Peng Jiang Masuma Akter Rumi GNN 14 6 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 25 82 0 19 Jan 2021
Hybrid Quantum-Classical Graph Convolutional Network Samuel Yen-Chi Chen T. Wei Chao Zhang Haiwang Yu Shinjae Yoo GNN 10 36 0 15 Jan 2021
Dynamic Graph Collaborative Filtering Xiaohan Li Mengqi Zhang Shu Wu Zheng Liu Liang Wang Philip S. Yu 95 70 0 08 Jan 2021
User Response Prediction in Online Advertising Zhabiz Gharibshah Xingquan Zhu OffRL 57 46 0 07 Jan 2021
Taxonomy Completion via Triplet Matching Network Jieyu Zhang Xiangchen Song Ying Zeng Jiaze Chen Jiaming Shen Yuning Mao Lei Li 26 37 0 06 Jan 2021
Hop-Hop Relation-aware Graph Neural Networks Li Zhang Yan Ge Haiping Lu GNN 30 6 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 20 16 0 20 Dec 2020
Analyzing the Performance of Graph Neural Networks with Pipe Parallelism M. Dearing Xiaoyang Sean Wang GNN AI4CE 16 3 0 20 Dec 2020
An Experimental Study of the Transferability of Spectral Graph Networks Axel Nilsson Xavier Bresson 25 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 25 115 0 16 Dec 2020
Hierarchical Graph Capsule Network Jinyu Yang P. Zhao Yu Rong Chao-chao Yan Chunyuan Li Hehuan Ma Junzhou Huang 24 30 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 14 0 0 14 Dec 2020
Bipartite Graph Embedding via Mutual Information Maximization Jiangxia Cao Xixun Lin Shu Guo Luchen Liu Tingwen Liu Bin Wang 72 110 0 10 Dec 2020
NCGNN: Node-Level Capsule Graph Neural Network for Semisupervised Classification Rui Yang Wenrui Dai Chenglin Li Junni Zou H. Xiong 22 20 0 07 Dec 2020
Unify Local and Global Information for Top- $N$ Recommendation Xiaoming Liu Shaocong Wu Zhaohan Zhang Chao Shen 8 7 0 03 Dec 2020
Deep Graph Neural Networks with Shallow Subgraph Samplers Hanqing Zeng Muhan Zhang Yinglong Xia Ajitesh Srivastava Andrey Malevich R. Kannan Viktor Prasanna Long Jin Ren Chen GNN 8 24 0 02 Dec 2020
RRCN: A Reinforced Random Convolutional Network based Reciprocal Recommendation Approach for Online Dating Linhao Luo Liqi Yang Ju Xin Yixiang Fang Xiaofeng Zhang Xiaofei Yang Kai Chen Zhiyuan Zhang Kai Liu 17 3 0 25 Nov 2020
APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding Xuhong Wang Ding Lyu Mengjian Li Yang Xia Qi Yang ... Xinguang Wang Ping Cui Yupu Yang Bowen Sun Zhenyu Guo GNN 23 136 0 23 Nov 2020
Scalable Graph Neural Networks for Heterogeneous Graphs Lingfan Yu Jiajun Shen Jinyang Li Adam Lerer GNN 30 49 0 19 Nov 2020
Design Space for Graph Neural Networks Jiaxuan You Rex Ying J. Leskovec GNN AI4CE 19 315 0 17 Nov 2020
Heterogeneous Graph Collaborative Filtering Zekun Li Yujia Zheng Shu Wu Xiaoyu Zhang Liang Wang 6 6 0 13 Nov 2020
Attentive Social Recommendation: Towards User And Item Diversities Dongsheng Luo Yuchen Bian Xiang Zhang Jun Huan 18 4 0 09 Nov 2020
Parameterized Explainer for Graph Neural Network Dongsheng Luo Wei Cheng Dongkuan Xu Wenchao Yu Bo Zong Haifeng Chen Xiang Zhang 33 538 0 09 Nov 2020
Adversarial Counterfactual Learning and Evaluation for Recommender System Da Xu Chuanwei Ruan Evren Körpeoglu Sushant Kumar Kannan Achan OffRL CML 6 32 0 08 Nov 2020
ASFGNN: Automated Separated-Federated Graph Neural Network Longfei Zheng Jun Zhou Chaochao Chen Bingzhe Wu L. xilinx Wang Benyu Zhang FedML GNN 20 70 0 06 Nov 2020
Graph Neural Networks in Recommender Systems: A Survey Shiwen Wu Fei Sun Wentao Zhang Xu Xie Bin Cui GNN 56 1,174 0 04 Nov 2020
Understanding Capacity-Driven Scale-Out Neural Recommendation Inference Michael Lui Yavuz Yetim Özgür Özkan Zhuoran Zhao Shin-Yeh Tsai Carole-Jean Wu Mark Hempstead GNN BDL LRM 19 51 0 04 Nov 2020
Learning on Attribute-Missing Graphs Xu Chen Siheng Chen Jiangchao Yao Huangjie Zheng Ya-Qin Zhang Ivor W Tsang 24 85 0 03 Nov 2020
GAIN: Graph Attention & Interaction Network for Inductive Semi-Supervised Learning over Large-scale Graphs Yunpeng Weng Xu Chen Liang Chen Wei Liu GNN 12 10 0 03 Nov 2020
Handling Missing Data with Graph Representation Learning Jiaxuan You Xiaobai Ma D. Ding Mykel Kochenderfer J. Leskovec 23 169 0 30 Oct 2020
Scalable Graph Neural Networks via Bidirectional Propagation Ming Chen Zhewei Wei Bolin Ding Yaliang Li Ye Yuan Xiaoyong Du Ji-Rong Wen GNN 16 142 0 29 Oct 2020
GraphMDN: Leveraging graph structure and deep learning to solve inverse problems Tuomas P. Oikarinen Daniel C. Hannah Sohrob Kazerounian BDL GNN 17 29 0 26 Oct 2020
Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous Graph Neural Networks Hao Tang Zhiao Huang Jiayuan Gu Bao-Liang Lu Hao Su AI4CE 19 9 0 26 Oct 2020