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
Hop Sampling: A Simple Regularized Graph Learning for Non-Stationary Environments Young-Jin Park Kyuyong Shin KyungHyun Kim 57 3 0 26 Jun 2020
Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case Shuai Zhang Meng Wang Sijia Liu Pin-Yu Chen Jinjun Xiong MLT AI4CE 120 34 0 25 Jun 2020
Minimal Variance Sampling with Provable Guarantees for Fast Training of Graph Neural Networks Weilin Cong R. Forsati M. Kandemir M. Mahdavi 101 88 0 24 Jun 2020
Non-Parametric Graph Learning for Bayesian Graph Neural Networks Soumyasundar Pal Saber Malekmohammadi Florence Regol Yingxue Zhang Yishi Xu Mark Coates 66 11 0 23 Jun 2020
Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View Shen Wang Jibing Gong Jinlong Wang Wenzheng Feng Hao Peng Jie Tang Philip S. Yu AI4Ed HAI 56 133 0 23 Jun 2020
Graph Neural Networks for Node-Level Predictions Christoph Heindl GNN AI4CE 34 1 0 22 Jun 2020
Graph Neural Networks in TensorFlow and Keras with Spektral Daniele Grattarola Cesare Alippi GNN 179 156 0 22 Jun 2020
MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals Namyong Park Andrey Kan Xin Luna Dong Tong Zhao Christos Faloutsos 27 26 0 22 Jun 2020
Zero-Shot Learning with Common Sense Knowledge Graphs Nihal V. Nayak Stephen H. Bach VLM 123 37 0 18 Jun 2020
Temporal Graph Networks for Deep Learning on Dynamic Graphs Emanuele Rossi B. Chamberlain Fabrizio Frasca D. Eynard Federico Monti M. Bronstein AI4CE 186 659 0 18 Jun 2020
Class-Attentive Diffusion Network for Semi-Supervised Classification Jongin Lim Daeho Um H. Chang D. Jo J. Choi 218 15 0 18 Jun 2020
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training J. Qiu Qibin Chen Yuxiao Dong Jing Zhang Hongxia Yang Ming Ding Kuansan Wang Jie Tang SSL 251 960 0 17 Jun 2020
Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting Giorgos Bouritsas Fabrizio Frasca Stefanos Zafeiriou M. Bronstein 136 439 0 16 Jun 2020
Graph Meta Learning via Local Subgraphs Kexin Huang Marinka Zitnik 117 166 0 14 Jun 2020
DeeperGCN: All You Need to Train Deeper GCNs Guohao Li Chenxin Xiong Ali K. Thabet Guohao Li GNN 273 442 0 13 Jun 2020
Knowledge Embedding Based Graph Convolutional Network Donghan Yu Yiming Yang Ruohong Zhang Yuexin Wu GNN 108 12 0 12 Jun 2020
Attention improves concentration when learning node embeddings Matthew Dippel Adam Kiezun Tanay Mehta Ravi Sundaram S. Thirumalai Akshar Varma GNN 24 1 0 11 Jun 2020
Data Augmentation for Graph Neural Networks Tong Zhao Yozen Liu Leonardo Neves Oliver J. Woodford Meng Jiang Neil Shah GNN 159 418 0 11 Jun 2020
Calendar Graph Neural Networks for Modeling Time Structures in Spatiotemporal User Behaviors Ziyu Zhao Meng Jiang Munira Syed Oliver Conway Vishal Juneja Sriram Subramanian Nitesh Chawla AI4TS 52 38 0 11 Jun 2020
Wide and Deep Graph Neural Networks with Distributed Online Learning Zhan Gao Fernando Gama Alejandro Ribeiro GNN 85 10 0 11 Jun 2020
AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP Investigation in the Recommender System Pengyu Zhao Kecheng Xiao Yuanxing Zhang Kaigui Bian Wei Yan 114 16 0 10 Jun 2020
Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps Xianfeng Tang Yozen Liu Neil Shah Xiaolin Shi P. Mitra Suhang Wang AI4TS 124 45 0 10 Jun 2020
Graph-Aware Transformer: Is Attention All Graphs Need? Sang-yong Yoo Young-Seok Kim Kang Lee Kuhwan Jeong Junhwi Choi Hoshik Lee Y. S. Choi GNN 92 11 0 09 Jun 2020
Towards More Practical Adversarial Attacks on Graph Neural Networks Jiaqi Ma Shuangrui Ding Qiaozhu Mei AAML 73 122 0 09 Jun 2020
Optimal Transport Graph Neural Networks Benson Chen Gary Bécigneul O. Ganea Regina Barzilay Tommi Jaakkola OT 94 44 0 08 Jun 2020
Single-Layer Graph Convolutional Networks For Recommendation Yue Xu Hao Chen Zengde Deng Junxiong Zhu Yanghua Li Peng He Wen-yuan Gao Wenjun Xu GNN 28 1 0 07 Jun 2020
The Impact of Global Structural Information in Graph Neural Networks Applications Davide Buffelli Fabio Vandin AI4CE 66 9 0 06 Jun 2020
Exploration-Exploitation Motivated Variational Auto-Encoder for Recommender Systems Yizi Zhang Meimei Liu 18 0 0 05 Jun 2020
Stochastic Graph Neural Networks Zhan Gao Elvin Isufi Alejandro Ribeiro 21 1 0 04 Jun 2020
Graph Learning with Loss-Guided Training Eliav Buchnik E. Cohen 45 1 0 31 May 2020
Brief Announcement: On the Limits of Parallelizing Convolutional Neural Networks on GPUs Behnam Pourghassemi Chenghao Zhang Joo Hwan Lee Aparna Chandramowlishwaran AI4CE BDL 52 12 0 28 May 2020
MVIN: Learning Multiview Items for Recommendation Chang-You Tai Meng-Ru Wu Yun-Wei Chu Shao-Yu Chu Lun-Wei Ku 68 48 0 26 May 2020
Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach Le Wu Yonghui Yang Kun Zhang Richang Hong Yanjie Fu Meng Wang GNN 58 104 0 25 May 2020
How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey Jiexia Ye Juanjuan Zhao Kejiang Ye Chengzhong Xu GNN AI4TS AI4CE 99 199 0 24 May 2020
Graph Random Neural Network for Semi-Supervised Learning on Graphs Wenzheng Feng Jie Zhang Yuxiao Dong Yu Han Huanbo Luan Qian Xu Qiang Yang Evgeny Kharlamov Jie Tang 135 397 0 22 May 2020
Graph Structure Learning for Robust Graph Neural Networks Wei Jin Yao Ma Xiaorui Liu Xianfeng Tang Suhang Wang Jiliang Tang OOD AAML 88 711 0 20 May 2020
M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems Menghan Wang Yujie Lin Guli Lin Keping Yang Xiao-ming Wu AI4TS 3DV 43 72 0 20 May 2020
Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems Chang Zhou Jianxin Ma Jianwei Zhang Jingren Zhou Hongxia Yang 153 148 0 20 May 2020
Controllable Multi-Interest Framework for Recommendation Yukuo Cen Jianwei Zhang Xu Zou Chang Zhou Hongxia Yang Jie Tang 83 273 0 19 May 2020
Attacking Black-box Recommendations via Copying Cross-domain User Profiles Wenqi Fan Hanyu Wang Xiangyu Zhao Yao Ma Hui Liu Jianping Wang Jiliang Tang Qing Li MLAU AAML 71 78 0 17 May 2020
Integrating Semantic and Structural Information with Graph Convolutional Network for Controversy Detection L. Zhong Juan Cao Qiang Sheng Junbo Guo Ziang Wang 59 25 0 16 May 2020
Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey Joakim Skarding Bogdan Gabrys Katarzyna Musial AI4CE 122 240 0 13 May 2020
Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction Jiexia Ye Juanjuan Zhao Kejiang Ye Chengzhong Xu AIFin AI4TS 97 53 0 11 May 2020
SocialTrans: A Deep Sequential Model with Social Information for Web-Scale Recommendation Systems Qiaoan Chen Hao Gu Lingling Yi Yishi Lin Peng He Chuan Chen Yangqiu Song GNN AI4TS 21 0 0 09 May 2020
Geometric graphs from data to aid classification tasks with graph convolutional networks Yifan Qian P. Expert P. Panzarasa Mauricio Barahona GNN 59 9 0 08 May 2020
Machine Learning on Graphs: A Model and Comprehensive Taxonomy Ines Chami Sami Abu-El-Haija Bryan Perozzi Christopher Ré Kevin Patrick Murphy 98 291 0 07 May 2020
Bundle Recommendation with Graph Convolutional Networks Jianxin Chang Chen Gao Xiangnan He Yong Li Depeng Jin GNN 61 103 0 07 May 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 311 2,759 0 02 May 2020
A Robust Hierarchical Graph Convolutional Network Model for Collaborative Filtering Shaowen Peng Tsunenori Mine 51 8 0 30 Apr 2020
Unifying Neural Learning and Symbolic Reasoning for Spinal Medical Report Generation Zhongyi Han B. Wei Yilong Yin Shuo Li MedIm 54 42 0 28 Apr 2020