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
Doing More with Less: Overcoming Data Scarcity for POI Recommendation via Cross-Region Transfer Vinayak Gupta Srikanta J. Bedathur 92 19 0 16 Jan 2022
Sequential Recommendation via Stochastic Self-Attention Ziwei Fan Zhiwei Liu Alice Wang Zahra Nazari Lei Zheng Hao Peng Philip S. Yu AI4TS 87 145 0 16 Jan 2022
Training Free Graph Neural Networks for Graph Matching Zhiyuan Liu Yixin Cao Fuli Feng Xiang Wang Jie Tang Kenji Kawaguchi Tat-Seng Chua 51 0 0 14 Jan 2022
Structure Enhanced Graph Neural Networks for Link Prediction Baole Ai Zhou Qin Wen Shen Yong Li 67 7 0 14 Jan 2022
On Sampling Collaborative Filtering Datasets Noveen Sachdeva Carole-Jean Wu Julian McAuley 78 16 0 13 Jan 2022
How Can Graph Neural Networks Help Document Retrieval: A Case Study on CORD19 with Concept Map Generation Hejie Cui Jiaying Lu Yao Ge Carl Yang 80 22 0 12 Jan 2022
Optimizing Diffusion Rate and Label Reliability in a Graph-Based Semi-supervised Classifier B. Afonso Lilian Berton 38 3 0 10 Jan 2022
Supervised Contrastive Learning for Recommendation Chun Yang 69 40 0 10 Jan 2022
Multi-Behavior Enhanced Recommendation with Cross-Interaction Collaborative Relation Modeling Lianghao Xia Chao Huang Yong-mei Xu Peng Dai Mengyin Lu Liefeng Bo 53 51 0 07 Jan 2022
Sparse-Dyn: Sparse Dynamic Graph Multi-representation Learning via Event-based Sparse Temporal Attention Network Yan Pang Chao Liu 70 7 0 04 Jan 2022
Attention-Based Recommendation On Graphs Taher Hekmatfar Saman Haratizadeh Parsa Razban S. Goliaei GNN 89 3 0 04 Jan 2022
Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and Directions Xin Wang Ziwei Zhang Haoyang Li Wenwu Zhu 129 2 0 04 Jan 2022
Graph Neural Networks: a bibliometrics overview Abdalsamad Keramatfar Mohadeseh Rafiee Hossein Amirkhani GNN AI4CE 74 25 0 03 Jan 2022
Two-level Graph Neural Network Xing Ai Chengyu Sun Zhihong Zhang Edwin R. Hancock 37 10 0 03 Jan 2022
Toward the Analysis of Graph Neural Networks Thanh-Dat Nguyen Thanh Le-Cong Thanh-Hung Nguyen X. Le Quyet-Thang Huynh GNN 38 3 0 01 Jan 2022
Measuring and Sampling: A Metric-guided Subgraph Learning Framework for Graph Neural Network Jiyang Bai Yuxiang Ren Jiawei Zhang 62 3 0 30 Dec 2021
Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective Lanning Wei Huan Zhao Zhiqiang He AI4CE 79 44 0 29 Dec 2021
GPS: A Policy-driven Sampling Approach for Graph Representation Learning Tiehua Zhang Yuze Liu Xin Chen Xiaowei Huang Feng Zhu Xi Zheng 62 6 0 29 Dec 2021
HP-GNN: Generating High Throughput GNN Training Implementation on CPU-FPGA Heterogeneous Platform Yi-Chien Lin Bingyi Zhang Viktor Prasanna GNN 64 34 0 22 Dec 2021
Learning to Model the Relationship Between Brain Structural and Functional Connectomes Yang Li Gonzalo Mateos Zhengwu Zhang 48 11 0 18 Dec 2021
Community-based Layerwise Distributed Training of Graph Convolutional Networks Hongyi Li Junxiang Wang Yongchao Wang Yue Cheng Liang Zhao BDL GNN 20 2 0 17 Dec 2021
Graph Convolutional Networks with Dual Message Passing for Subgraph Isomorphism Counting and Matching Xin Liu Yangqiu Song GNN 96 27 0 16 Dec 2021
BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing Tianfeng Liu Yangrui Chen Dan Li Chuan Wu Yibo Zhu Jun He Size Zheng Hongzheng Chen Hongzhi Chen Chuanxiong Guo GNN 81 79 0 16 Dec 2021
Efficient Dynamic Graph Representation Learning at Scale Xinshi Chen Yan Zhu Haowen Xu Mengya Liu Liang Xiong Muhan Zhang Le Song 59 7 0 14 Dec 2021
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering Yiqi Wang Chaozhuo Li Zheng Liu Mingzheng Li Jiliang Tang Xing Xie Lei Chen Philip S. Yu 70 23 0 14 Dec 2021
Incentive Compatible Pareto Alignment for Multi-Source Large Graphs Jian Liang Fangrui Lv Di Liu Zehui Dai Xu Tian Shuang Li Fei Wang Han Li 66 0 0 06 Dec 2021
Learning Query Expansion over the Nearest Neighbor Graph Benjamin Klein Lior Wolf 41 1 0 05 Dec 2021
Trivial bundle embeddings for learning graph representations Zheng Xie Xiaojing Zuo Yiping Song 108 0 0 05 Dec 2021
Fast Graph Neural Tangent Kernel via Kronecker Sketching Shunhua Jiang Yunze Man Zhao Song Zheng Yu Danyang Zhuo 93 6 0 04 Dec 2021
A Multi-Strategy based Pre-Training Method for Cold-Start Recommendation Bowen Hao Hongzhi Yin Jing Zhang Cuiping Li Hong Chen 86 22 0 04 Dec 2021
Learning Large-scale Network Embedding from Representative Subgraph Junsheng Kong Weizhao Li Ben Liao J. Qiu Chang-Yu Hsieh Hsieh Yijin Cai Jin-Hui Zhu Shengyu Zhang GNN 28 1 0 02 Dec 2021
Relational Graph Learning for Grounded Video Description Generation Wenqiao Zhang Xinze Wang Siliang Tang Haizhou Shi Haochen Shi Jun Xiao Yueting Zhuang Wenjie Wang 67 33 0 02 Dec 2021
Multi-objective Explanations of GNN Predictions Yifei Liu Chao Chen Yazheng Liu Xi Zhang Sihong Xie 67 13 0 29 Nov 2021
AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020 Jin Xu Mingjian Chen Jianqiang Huang Xingyuan Tang Ke Hu Jian Li Jia Cheng Jun Lei 58 2 0 25 Nov 2021
Multi-fidelity Stability for Graph Representation Learning Yihan He Joan Bruna 137 0 0 25 Nov 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 91 98 0 23 Nov 2021
Network In Graph Neural Network Xiang Song Runjie Ma Jiahang Li Muhan Zhang David Wipf GNN 43 10 0 23 Nov 2021
Citation network applications in a scientific co-authorship recommender system Vladislav Tishin Artyom Sosedka Peter Ibragimov Vadim Porvatov GNN 29 2 0 22 Nov 2021
Vulcan: Solving the Steiner Tree Problem with Graph Neural Networks and Deep Reinforcement Learning Haizhou Du Zong Yan Qiao Xiang Qinqing Zhan GNN 80 6 0 21 Nov 2021
Federated Social Recommendation with Graph Neural Network Zhiwei Liu Liangwei Yang Ziwei Fan Hao Peng Philip S. Yu FedML 92 156 0 21 Nov 2021
Quaternion-Based Graph Convolution Network for Recommendation Yaxing Fang Pengpeng Zhao Guanfeng Liu Yanchi Liu Victor S. Sheng Lei Zhao Xiaofang Zhou GNN 69 2 0 20 Nov 2021
DyFormer: A Scalable Dynamic Graph Transformer with Provable Benefits on Generalization Ability Weilin Cong Yanhong Wu Yuandong Tian Mengting Gu Yinglong Xia C. Chen Mehrdad Mahdavi AI4CE 38 10 0 19 Nov 2021
Explaining GNN over Evolving Graphs using Information Flow Yazheng Liu Xi Zhang Sihong Xie FAtt 21 0 0 19 Nov 2021
Subspace Graph Physics: Real-Time Rigid Body-Driven Granular Flow Simulation A. Haeri K. Skonieczny AI4CE 101 2 0 18 Nov 2021
IV-GNN : Interval Valued Data Handling Using Graph Neural Network Sucheta Dawn S. Bandyopadhyay GNN 86 2 0 17 Nov 2021
Learn Locally, Correct Globally: A Distributed Algorithm for Training Graph Neural Networks M. Ramezani Weilin Cong Mehrdad Mahdavi M. Kandemir A. Sivasubramaniam GNN 75 32 0 16 Nov 2021
Linear, or Non-Linear, That is the Question! Taeyong Kong Taeri Kim Jinsung Jeon Jeongwhan Choi Yeon-Chang Lee Noseong Park Sang-Wook Kim 84 62 0 14 Nov 2021
Simplifying approach to Node Classification in Graph Neural Networks S. Maurya Xin Liu T. Murata 127 81 0 12 Nov 2021
Implicit vs Unfolded Graph Neural Networks Yongyi Yang Tang Liu Yangkun Wang Zengfeng Huang David Wipf 236 15 0 12 Nov 2021
SPA-GCN: Efficient and Flexible GCN Accelerator with an Application for Graph Similarity Computation Atefeh Sohrabizadeh Yuze Chi Jason Cong GNN 60 1 0 10 Nov 2021