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
Multi-Behavior Sequential Recommendation with Temporal Graph Transformer Lianghao Xia Chao Huang Yong-mei Xu Jiangsen Pei HAI 121 53 0 06 Jun 2022
Graph Neural Networks with Precomputed Node Features Béni Egressy Roger Wattenhofer 66 2 0 01 Jun 2022
Calibrate and Debias Layer-wise Sampling for Graph Convolutional Networks Yifan Chen Tianning Xu Dilek Z. Hakkani-Tür Di Jin Yun Yang Ruoqing Zhu 114 4 0 01 Jun 2022
An Empirical Study of Retrieval-enhanced Graph Neural Networks Dingmin Wang Shengchao Liu Hanchen Wang Bernardo Cuenca Grau Linfeng Song Jian Tang Song Le Qi Liu 93 0 0 01 Jun 2022
Distributed Graph Neural Network Training with Periodic Stale Representation Synchronization Zheng Chai Guangji Bai Liang Zhao Yue Cheng GNN 83 3 0 31 May 2022
COIN: Co-Cluster Infomax for Bipartite Graphs Baoyu Jing Yuchen Yan Yada Zhu Hanghang Tong 103 21 0 31 May 2022
Uncertainty Quantification for Fairness in Two-Stage Recommender Systems Lequn Wang Thorsten Joachims 68 22 0 30 May 2022
Personalized PageRank Graph Attention Networks Julie Choi GNN 32 6 0 27 May 2022
ES-GNN: Generalizing Graph Neural Networks Beyond Homophily with Edge Splitting Jingwei Guo Kaizhu Huang Rui Zhang Xinping Yi AAML 117 5 0 27 May 2022
RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation Yijun Tian Chuxu Zhang Zhichun Guo Chao Huang Ronald A Metoyer Nitesh Chawla 71 29 0 24 May 2022
ColdGuess: A General and Effective Relational Graph Convolutional Network to Tackle Cold Start Cases Bo He Xiang Song Vincent Gao Christos Faloutsos 69 1 0 24 May 2022
ItemSage: Learning Product Embeddings for Shopping Recommendations at Pinterest Paul Baltescu Haoyu Chen Nikil Pancha Andrew Zhai J. Leskovec Charles R. Rosenberg DML 98 34 0 24 May 2022
High-Order Pooling for Graph Neural Networks with Tensor Decomposition Chenqing Hua Guillaume Rabusseau Jian Tang 122 26 0 24 May 2022
Compressing Deep Graph Neural Networks via Adversarial Knowledge Distillation Huarui He Jie Wang Zhanqiu Zhang Feng Wu 58 42 0 24 May 2022
Learning to Advise and Learning from Advice in Cooperative Multi-Agent Reinforcement Learning Yue Jin Shuangqing Wei Jian Yuan Xudong Zhang 42 0 0 23 May 2022
KQGC: Knowledge Graph Embedding with Smoothing Effects of Graph Convolutions for Recommendation Daisuke Kikuta Toyotaro Suzumura Md. Mostafizur Rahman Yuya Hirate Satyen Abrol Manoj Kondapaka Takuma Ebisu Pablo S. Loyola 29 1 0 23 May 2022
MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest Saket Gurukar Nikil Pancha Andrew Zhai Eric Kim Samson Hu Srinivas Parthasarathy Charles R. Rosenberg J. Leskovec 120 16 0 21 May 2022
Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion? Juanhui Li Harry Shomer Jiayu Ding Yiqi Wang Yao Ma Neil Shah Jiliang Tang Dawei Yin 85 13 0 21 May 2022
FairNorm: Fair and Fast Graph Neural Network Training Öykü Deniz Köse Yanning Shen AI4CE 58 4 0 20 May 2022
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis Maciej Besta Torsten Hoefler GNN 111 57 0 19 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Lizhen Qu Shirui Pan Hanghang Tong Jian Pei 139 110 0 16 May 2022
kNN-Embed: Locally Smoothed Embedding Mixtures For Multi-interest Candidate Retrieval Ahmed El-Kishky Thomas Markovich Kenny Leung Frank Portman A. Haghighi Ying Xiao 70 12 0 12 May 2022
Communicative Subgraph Representation Learning for Multi-Relational Inductive Drug-Gene Interaction Prediction Jiahua Rao Shuangjia Zheng Sijie Mai Yuedong Yang 112 12 0 12 May 2022
SmartSAGE: Training Large-scale Graph Neural Networks using In-Storage Processing Architectures Yunjae Lee Jin-Won Chung Minsoo Rhu GNN 60 52 0 10 May 2022
PinnerFormer: Sequence Modeling for User Representation at Pinterest Nikil Pancha Andrew Zhai J. Leskovec Charles R. Rosenberg AI4TS 117 32 0 09 May 2022
LPGNet: Link Private Graph Networks for Node Classification Aashish Kolluri Teodora Baluta Bryan Hooi Prateek Saxena 106 27 0 06 May 2022
Optimal Propagation for Graph Neural Networks Beidi Zhao Boxin Du Zhe Xu Liangyue Li Hanghang Tong GNN 115 0 0 06 May 2022
Multi-Graph based Multi-Scenario Recommendation in Large-scale Online Video Services Fan Zhang Qiuying Peng Yu-Liang Wu Zheng Pan Rong Zeng David Lin Ye Qi 65 6 0 05 May 2022
Graph Anisotropic Diffusion Ahmed A. A. Elhag Gabriele Corso Hannes Stärk Michael M. Bronstein DiffM GNN 60 0 0 30 Apr 2022
GTNet: A Tree-Based Deep Graph Learning Architecture Nan Wu Chaofan Wang 29 5 0 27 Apr 2022
Generating Topological Structure of Floorplans from Room Attributes Yu Yin Will Hutchcroft Naji Khosravan Ivaylo Boyadzhiev Y. Fu S. B. Kang 50 2 0 26 Apr 2022
Hypergraph Contrastive Collaborative Filtering Lianghao Xia Chao Huang Yong-mei Xu Jiashu Zhao Dawei Yin J. Huang 112 319 0 26 Apr 2022
DropMessage: Unifying Random Dropping for Graph Neural Networks Taoran Fang Zhiqing Xiao Chunping Wang Jiarong Xu Xuan Yang Yang Yang 54 53 0 21 Apr 2022
Effects of Graph Convolutions in Multi-layer Networks Aseem Baranwal Kimon Fountoulakis Aukosh Jagannath 96 26 0 20 Apr 2022
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability Enyan Dai Tianxiang Zhao Huaisheng Zhu Jun Xu Zhimeng Guo Hui Liu Jiliang Tang Suhang Wang 109 144 0 18 Apr 2022
HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization Menglin Yang Min Zhou Jiahong Liu Defu Lian Irwin King 85 91 0 18 Apr 2022
Continuous-Time User Preference Modelling for Temporal Sets Prediction Le Yu Zihang Liu Leilei Sun Bowen Du T. Zhu Weifeng Lv 50 6 0 12 Apr 2022
IA-GCN: Interactive Graph Convolutional Network for Recommendation Yinan Zhang Pei Wang Congcong Liu Xiwei Zhao Hao Qi Jie He Junsheng Jin Changping Peng Zhangang Lin Jingping Shao GNN 62 6 0 08 Apr 2022
Accelerating Backward Aggregation in GCN Training with Execution Path Preparing on GPUs Shaoxian Xu Zhiyuan Shao Ci-Syuan Yang Xiaofei Liao Hai Jin GNN 50 1 0 06 Apr 2022
MGDCF: Distance Learning via Markov Graph Diffusion for Neural Collaborative Filtering Jun Hu Bryan Hooi Shengsheng Qian Quan Fang Changsheng Xu 51 29 0 05 Apr 2022
A Survey on Graph Representation Learning Methods Shima Khoshraftar A. An GNN AI4TS 112 124 0 04 Apr 2022
Synthetic Graph Generation to Benchmark Graph Learning Anton Tsitsulin Benedek Rozemberczki John Palowitch Bryan Perozzi 121 29 0 04 Apr 2022
Bayesian Negative Sampling for Recommendation B. Liu Bang-wei Wang BDL 69 9 0 02 Apr 2022
Neighbor Enhanced Graph Convolutional Networks for Node Classification and Recommendation Hao Chen Zhong Huang Yue Xu Zengde Deng Feiran Huang Peng He Zhoujun Li GNN 53 52 0 30 Mar 2022
Revisiting Neighborhood-based Link Prediction for Collaborative Filtering Hao Xu Patrick Poirson Kwot Sin Lee Chen Wang 89 16 0 29 Mar 2022
AMCAD: Adaptive Mixed-Curvature Representation based Advertisement Retrieval System Zhirong Xu Shiyang Wen Junshan Wang Guojun Liu Liang Wang ... Lei Ding Yan Zhang Di Zhang Han Zhu Bo Zheng 64 9 0 28 Mar 2022
Addressing Missing Sources with Adversarial Support-Matching T. Kehrenberg Myles Bartlett V. Sharmanska Novi Quadrianto 25 1 0 24 Mar 2022
BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node Sampling Cheng Wan Youjie Li Ang Li Namjae Kim Yingyan Lin GNN 98 79 0 21 Mar 2022
ZOOMER: Boosting Retrieval on Web-scale Graphs by Regions of Interest Yuezihan Jiang Yu Cheng Hanyu Zhao Wentao Zhang Xupeng Miao Yu He Liang Wang Zhi-Xin Yang Tengjiao Wang GNN 53 10 0 20 Mar 2022
PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication Cheng Wan Youjie Li Cameron R. Wolfe Anastasios Kyrillidis Namjae Kim Yingyan Lin GNN 96 70 0 20 Mar 2022