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
Few-Shot Learning on Graphs Chuxu Zhang Kaize Ding Jundong Li Xiangliang Zhang Yanfang Ye Nitesh Chawla Huan Liu 133 20 0 17 Mar 2022
Simultaneous Learning of the Inputs and Parameters in Neural Collaborative Filtering Ramin Raziperchikolaei Young-joo Chung 54 2 0 14 Mar 2022
Deep Transfer Learning with Graph Neural Network for Sensor-Based Human Activity Recognition Yan Yan T. Liao Jinjin Zhao Jiahong Wang Liang Ma Wei Lv Jing Xiong Lei Wang 65 20 0 14 Mar 2022
Model-Architecture Co-Design for High Performance Temporal GNN Inference on FPGA Hongkuan Zhou Bingyi Zhang Rajgopal Kannan Viktor Prasanna Carl E. Busart GNN 63 23 0 10 Mar 2022
Pay Attention to Relations: Multi-embeddings for Attributed Multiplex Networks Joshua Melton Michael Ridenhour S. Krishnan GNN 21 1 0 03 Mar 2022
GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation Sina Sajadmanesh Ali Shahin Shamsabadi A. Bellet D. Gática-Pérez 85 67 0 02 Mar 2022
PaSca: a Graph Neural Architecture Search System under the Scalable Paradigm Wentao Zhang Yu Shen Zheyu Lin Yang Li Xiaosen Li Wenbin Ouyang Yangyu Tao Zhi-Xin Yang Tengjiao Wang GNN 110 61 0 01 Mar 2022
An Effective Graph Learning based Approach for Temporal Link Prediction: The First Place of WSDM Cup 2022 Qian Zhao Shuo Yang Binbin Hu Qing Cui Yakun Wang Yusong Chen Jun Zhou Chuan Shi 22 1 0 01 Mar 2022
Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning Haoteng Yin Muhan Zhang Yanbang Wang Jianguo Wang Pan Li 65 37 0 28 Feb 2022
Path-Aware Graph Attention for HD Maps in Motion Prediction Fang Da Yu Zhang GNN 109 28 0 23 Feb 2022
Message passing all the way up Petar Velickovic 175 66 0 22 Feb 2022
Model-Agnostic Augmentation for Accurate Graph Classification Jaemin Yoo Sooyeon Shim U. Kang GNN 87 30 0 21 Feb 2022
Black-box Node Injection Attack for Graph Neural Networks Mingxuan Ju Yujie Fan Yanfang Ye Liang Zhao AAML 118 2 0 18 Feb 2022
Graph Data Augmentation for Graph Machine Learning: A Survey Tong Zhao Wei Jin Yozen Liu Yingheng Wang Gang Liu Stephan Günnemann Neil Shah Meng Jiang OOD 130 83 0 17 Feb 2022
Contrastive Meta Learning with Behavior Multiplicity for Recommendation Wei Wei Chao Huang Lianghao Xia Yong-mei Xu Jiashu Zhao Dawei Yin 95 170 0 17 Feb 2022
Task-Agnostic Graph Explanations Yaochen Xie S. Katariya Xianfeng Tang E-Wen Huang Nikhil S. Rao Karthik Subbian Shuiwang Ji 87 26 0 16 Feb 2022
SecGNN: Privacy-Preserving Graph Neural Network Training and Inference as a Cloud Service Songlei Wang Yifeng Zheng Xiaohua Jia GNN 102 25 0 16 Feb 2022
Heterogeneous Graph Learning for Explainable Recommendation over Academic Networks Xiangtai Chen Tao Tang Jing Ren Ivan Lee Honglong Chen Xiwei Xu 63 7 0 16 Feb 2022
CenGCN: Centralized Convolutional Networks with Vertex Imbalance for Scale-Free Graphs Xiwei Xu Lei Wang Tao Tang Xin Chen Xiangjie Kong G. Oatley Irwin King GNN 65 32 0 16 Feb 2022
Federated Graph Neural Networks: Overview, Techniques and Challenges R. Liu Pengwei Xing Zichao Deng Anran Li Cuntai Guan Han Yu FedML 113 87 0 15 Feb 2022
Graph Neural Networks for Graphs with Heterophily: A Survey Xin-Yang Zheng Yi Wang Yixin Liu Ming Li Miao Zhang Di Jin Philip S. Yu Shirui Pan 100 227 0 14 Feb 2022
Improved Aggregating and Accelerating Training Methods for Spatial Graph Neural Networks on Fraud Detection Yufan Zeng Jiashan Tang 50 2 0 14 Feb 2022
Geometric Graph Representation Learning via Maximizing Rate Reduction Xiaotian Han Zhimeng Jiang Ninghao Liu Qingquan Song Jundong Li Helen Zhou 65 21 0 13 Feb 2022
Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning Zihan Lin Changxin Tian Yupeng Hou Wayne Xin Zhao 78 442 0 13 Feb 2022
Improving Fraud Detection via Hierarchical Attention-based Graph Neural Network Yajing Liu Zhengya Sun Wensheng Zhang 64 27 0 12 Feb 2022
TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic Representations Minhao Jiang Xiangchen Song Jieyu Zhang Jiawei Han 52 36 0 10 Feb 2022
FMP: Toward Fair Graph Message Passing against Topology Bias Zhimeng Jiang Xiaotian Han Chao Fan Zirui Liu Na Zou Ali Mostafavi Helen Zhou 80 48 0 08 Feb 2022
Ada-NETS: Face Clustering via Adaptive Neighbour Discovery in the Structure Space Yaohua Wang Yaobin Zhang Fangyi Zhang Ming-Ching Lin Yuqi Zhang Senzhang Wang Xiuyu Sun CVBM 84 29 0 08 Feb 2022
NxtPost: User to Post Recommendations in Facebook Groups Kaushik Rangadurai Yiqun Liu Siddarth Malreddy Xiaoyi Liu P. Maheshwari Vishwanath Sangale Fedor Borisyuk 47 6 0 08 Feb 2022
Neighbor2Seq: Deep Learning on Massive Graphs by Transforming Neighbors to Sequences Meng Liu Shuiwang Ji GNN 69 3 0 07 Feb 2022
Causal Disentanglement for Semantics-Aware Intent Learning in Recommendation Xiang-jian Wang Qian Li Dianer Yu Peng Cui Zhichao Wang Guandong Xu CML 116 32 0 05 Feb 2022
Lightweight Compositional Embeddings for Incremental Streaming Recommendation Mengyue Hang Tobias Schnabel Longqi Yang Jennifer Neville 41 6 0 04 Feb 2022
Graph-Coupled Oscillator Networks T. Konstantin Rusch B. Chamberlain J. Rowbottom S. Mishra M. Bronstein 106 115 0 04 Feb 2022
Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited Mingguo He Zhewei Wei Ji-Rong Wen GNN 88 112 0 04 Feb 2022
Graph Coloring with Physics-Inspired Graph Neural Networks M. Schuetz J. K. Brubaker Z. Zhu H. Katzgraber AI4CE 55 36 0 03 Feb 2022
Generalization Analysis of Message Passing Neural Networks on Large Random Graphs Sohir Maskey Ron Levie Yunseok Lee Gitta Kutyniok GNN 184 54 0 01 Feb 2022
Dimensionality Reduction Meets Message Passing for Graph Node Embeddings Krzysztof Sadowski Michal Szarmach Eddie Mattia 65 6 0 01 Feb 2022
Weisfeiler and Leman Go Infinite: Spectral and Combinatorial Pre-Colorings Or Feldman A. Boyarski Shai Feldman D. Kogan A. Mendelson Chaim Baskin 92 16 0 31 Jan 2022
MGNN: Graph Neural Networks Inspired by Distance Geometry Problem Guanyu Cui Zhewei Wei 70 8 0 31 Jan 2022
A Theoretical Comparison of Graph Neural Network Extensions Pál András Papp Roger Wattenhofer 140 48 0 30 Jan 2022
GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks Chenhui Deng Xiuyu Li Zhuobo Feng Zhiru Zhang AAML 122 24 0 30 Jan 2022
Learning Stochastic Graph Neural Networks with Constrained Variance Zhan Gao Elvin Isufi 111 5 0 29 Jan 2022
GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games Shichang Zhang Yozen Liu Neil Shah Yizhou Sun FAtt 124 48 0 28 Jan 2022
FairEGM: Fair Link Prediction and Recommendation via Emulated Graph Modification Sean Current Yuntian He Saket Gurukar Srinivas Parthasarathy 209 15 0 27 Jan 2022
Explainability in Music Recommender Systems Darius Afchar Alessandro B. Melchiorre Markus Schedl Romain Hennequin Elena V. Epure Manuel Moussallam 103 50 0 25 Jan 2022
Hardware/Software Co-Programmable Framework for Computational SSDs to Accelerate Deep Learning Service on Large-Scale Graphs Miryeong Kwon Donghyun Gouk Sangwon Lee Myoungsoo Jung GNN 40 27 0 23 Jan 2022
Inferring Brain Dynamics via Multimodal Joint Graph Representation EEG-fMRI Jalal Mirakhorli 55 1 0 21 Jan 2022
Toward Enhanced Robustness in Unsupervised Graph Representation Learning: A Graph Information Bottleneck Perspective Jihong Wang Minnan Luo Jundong Li Ziqi Liu Jun Zhou Qinghua Zheng AAML 51 5 0 21 Jan 2022
Decoupling the Depth and Scope of Graph Neural Networks Hanqing Zeng Muhan Zhang Yinglong Xia Ajitesh Srivastava Andrey Malevich Rajgopal Kannan Viktor Prasanna Long Jin Ren Chen GNN 92 148 0 19 Jan 2022
Recommendation Unlearning C. L. Philip Chen Fei Sun Hao Fei Bolin Ding MU 88 96 0 18 Jan 2022