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
Position-based Hash Embeddings For Scaling Graph Neural Networks Maria Kalantzi George Karypis GNN 46 4 0 31 Aug 2021
Heterogeneous Graph Neural Network with Multi-view Representation Learning Zezhi Shao Yongjun Xu Wei Wei Fei Wang Zhao Zhang Feida Zhu 57 22 0 31 Aug 2021
Adaptive Label Smoothing To Regularize Large-Scale Graph Training Kaixiong Zhou Ninghao Liu Fan Yang Zirui Liu Rui Chen Li Li Soo-Hyun Choi Helen Zhou AI4CE 65 19 0 30 Aug 2021
ETA Prediction with Graph Neural Networks in Google Maps Austin Derrow-Pinion Jennifer She David Wong O. Lange Todd Hester ... Ang Li Zhongwen Xu Alvaro Sanchez-Gonzalez Yujia Li Petar Velivcković AI4TS 91 232 0 25 Aug 2021
Inductive Matrix Completion Using Graph Autoencoder Wei Shen Wei Shen Yunkun Tian Liang Zeng Xiaonan He Wanchun Dou Xiaolong Xu 103 26 0 25 Aug 2021
Graph Neural Networks: Methods, Applications, and Opportunities Lilapati Waikhom Ripon Patgiri GNN 95 42 0 24 Aug 2021
Layer-wise Adaptive Graph Convolution Networks Using Generalized Pagerank Kishan Wimalawarne Taiji Suzuki GNN 51 2 0 24 Aug 2021
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study Tianlong Chen Kaixiong Zhou Keyu Duan Wenqing Zheng Peihao Wang Helen Zhou Zhangyang Wang AAML GNN 65 66 0 24 Aug 2021
Network Security Modeling using NetFlow Data: Detecting Botnet attacks in IP Traffic Ganesh K. Subramaniam Huan Chen R. Varadhan R. Archibald 24 2 0 19 Aug 2021
SiReN: Sign-Aware Recommendation Using Graph Neural Networks Changwon Seo Kyeong-Joong Jeong Sungsu Lim Won-Yong Shin 44 19 0 19 Aug 2021
How Powerful is Graph Convolution for Recommendation? Yifei Shen Yongji Wu Yao Zhang Caihua Shan Jun Zhang Khaled B. Letaief Dongsheng Li GNN 77 102 0 17 Aug 2021
Causal Incremental Graph Convolution for Recommender System Retraining Sihao Ding Fuli Feng Xiangnan He Yong Liao Jun Shi Yongdong Zhang CML CLL BDL GNN 66 38 0 16 Aug 2021
LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis Fan Wu Yunhui Long Ce Zhang Yue Liu AAML 96 100 0 14 Aug 2021
AdaGNN: A multi-modal latent representation meta-learner for GNNs based on AdaBoosting Qinyi Zhu Yiou Xiao AI4CE 65 3 0 14 Aug 2021
Billion-Scale Pretraining with Vision Transformers for Multi-Task Visual Representations Josh Beal Hao Wu Dong Huk Park Andrew Zhai Dmitry Kislyuk ViT 58 30 0 12 Aug 2021
Graph Trend Filtering Networks for Recommendations Wenqi Fan Xiaorui Liu Wei Jin Xiangyu Zhao Jiliang Tang Qing Li 133 106 0 12 Aug 2021
Localized Graph Collaborative Filtering Yiqi Wang Chaozhuo Li Mingzheng Li Wei Jin Yuming Liu Hao Sun Xing Xie Jiliang Tang 44 12 0 10 Aug 2021
Development of Human Motion Prediction Strategy using Inception Residual Block Shekhar Gupta G. Yadav G. C. Nandi 3DH 63 3 0 09 Aug 2021
A Framework for Joint Unsupervised Learning of Cluster-Aware Embedding for Heterogeneous Networks R. A. Khan M. Kleinsteuber 51 3 0 09 Aug 2021
LT-OCF: Learnable-Time ODE-based Collaborative Filtering Jeongwhan Choi Jinsung Jeon Noseong Park 97 35 0 08 Aug 2021
PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations Moshe Eliasof E. Haber Eran Treister GNN AI4CE 102 131 0 04 Aug 2021
Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders Guillaume Salha-Galvan Romain Hennequin Benjamin Chapus Viet-Anh Tran Michalis Vazirgiannis 64 20 0 02 Aug 2021
ECLARE: Extreme Classification with Label Graph Correlations Anshul Mittal Noveen Sachdeva Sheshansh Agrawal Sumeet Agarwal Purushottam Kar Manik Varma 78 66 0 31 Jul 2021
Artist Similarity with Graph Neural Networks Filip Korzeniowski Sergio Oramas F. Gouyon 39 14 0 30 Jul 2021
Ego-GNNs: Exploiting Ego Structures in Graph Neural Networks Dylan Sandfelder Priyesh Vijayan William L. Hamilton 80 26 0 22 Jul 2021
Ready for Emerging Threats to Recommender Systems? A Graph Convolution-based Generative Shilling Attack Fan Wu Min Gao Junliang Yu Zongwei Wang Kecheng Liu Wange Xu AAML 80 36 0 22 Jul 2021
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu C. Aggarwal Chang-Tien Lu 163 21 0 21 Jul 2021
Large-scale graph representation learning with very deep GNNs and self-supervision Ravichandra Addanki Peter W. Battaglia David Budden Andreea Deac Jonathan Godwin ... Wai Lok Sibon Li Alvaro Sanchez-Gonzalez Jacklynn Stott S. Thakoor Petar Velivcković SSL AI4CE 83 25 0 20 Jul 2021
Adaptive Transfer Learning on Graph Neural Networks Xueting Han Zhenhuan Huang Bang An Jing Bai 120 57 0 19 Jul 2021
Position-enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations Liwei Huang Yutao Ma Yanbo Liu Bohong Du Shuliang Wang Deyi Li GNN 39 56 0 12 Jul 2021
MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal Weijia Zhang Hao Liu Lijun Zha Hengshu Zhu Ji Liu Dejing Dou Hui Xiong 111 31 0 12 Jul 2021
Beyond Low-pass Filtering: Graph Convolutional Networks with Automatic Filtering Zonghan Wu Shirui Pan Guodong Long Jing Jiang Chengqi Zhang GNN 71 31 0 10 Jul 2021
SelfCF: A Simple Framework for Self-supervised Collaborative Filtering Xin Zhou Aixin Sun Yong Liu Jie Zhang Chunyan Miao SSL 90 84 0 07 Jul 2021
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks Kaixiong Zhou Xiao Shi Huang Daochen Zha Rui Chen Li Li Soo-Hyun Choi Helen Zhou GNN AI4CE 79 119 0 06 Jul 2021
Maximum Entropy Weighted Independent Set Pooling for Graph Neural Networks Amirhossein Nouranizadeh Mohammadjavad Matinkia Mohammad Rahmati Reza Safabakhsh 49 22 0 03 Jul 2021
Combinatorial Optimization with Physics-Inspired Graph Neural Networks M. Schuetz J. K. Brubaker H. Katzgraber AI4CE 113 188 0 02 Jul 2021
Quantitative Evaluation of Explainable Graph Neural Networks for Molecular Property Prediction Jiahua Rao Shuangjia Zheng Yuedong Yang 104 48 0 01 Jul 2021
Subgroup Generalization and Fairness of Graph Neural Networks Jiaqi Ma Junwei Deng Qiaozhu Mei 87 82 0 29 Jun 2021
GraphConfRec: A Graph Neural Network-Based Conference Recommender System Andreea Iana Heiko Paulheim 33 10 0 23 Jun 2021
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation Mingguo He Zhewei Wei Zengfeng Huang Hongteng Xu 116 230 0 21 Jun 2021
Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem Jiaqi Ma Junwei Deng Qiaozhu Mei AAML GNN 67 33 0 21 Jun 2021
Stability of Graph Convolutional Neural Networks to Stochastic Perturbations Zhangyang Gao Elvin Isufi Alejandro Ribeiro GNN 68 25 0 19 Jun 2021
Neuroevolution-Enhanced Multi-Objective Optimization for Mixed-Precision Quantization Santiago Miret Vui Seng Chua Mattias Marder Mariano Phielipp Nilesh Jain Somdeb Majumdar 38 8 0 14 Jun 2021
Graph Domain Adaptation: A Generative View Ruichu Cai Fengzhu Wu Zijian Li Pengfei Wei Lingling Yi Kun Zhang OOD 72 38 0 14 Jun 2021
Planning Spatial Networks with Monte Carlo Tree Search Victor-Alexandru Darvariu Stephen Hailes Mirco Musolesi 83 7 0 12 Jun 2021
TDGIA:Effective Injection Attacks on Graph Neural Networks Xu Zou Qinkai Zheng Yuxiao Dong Xinyu Guan Evgeny Kharlamov Jialiang Lu Jie Tang AAML 93 107 0 12 Jun 2021
Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns Susheel Suresh Vinith Budde Jennifer Neville Pan Li Jianzhu Ma 88 137 0 11 Jun 2021
Learning to Pool in Graph Neural Networks for Extrapolation Jihoon Ko Taehyung Kwon Kijung Shin Juho Lee 60 6 0 11 Jun 2021
Is Homophily a Necessity for Graph Neural Networks? Yao Ma Xiaorui Liu Neil Shah Jiliang Tang 54 236 0 11 Jun 2021
Automated Self-Supervised Learning for Graphs Wei Jin Xiaorui Liu Xiangyu Zhao Yao Ma Neil Shah Jiliang Tang SSL 141 76 0 10 Jun 2021