Graph Convolutional Neural Networks for Web-Scale Recommender Systems

6 June 2018

Papers citing "Graph Convolutional Neural Networks for Web-Scale Recommender Systems"

50 / 1,259 papers shown

Title
Hierarchical BiGraph Neural Network as Recommendation Systems Dom Huh 9 1 0 27 Jul 2020
MetAL: Active Semi-Supervised Learning on Graphs via Meta Learning Kaushalya Madhawa T. Murata AI4CE 22 8 0 22 Jul 2020
MathNet: Haar-Like Wavelet Multiresolution-Analysis for Graph Representation and Learning Xuebin Zheng Bingxin Zhou Ming Li Yu Guang Wang Junbin Gao 17 2 0 22 Jul 2020
Simplification of Graph Convolutional Networks: A Matrix Factorization-based Perspective Qiang Liu Haoli Zhang Zhaocheng Liu GNN 14 3 0 17 Jul 2020
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs Dasol Hwang Jinyoung Park Sunyoung Kwon KyungHyun Kim Jung-Woo Ha Hyunwoo J. Kim 26 67 0 16 Jul 2020
Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning Shauharda Khadka Estelle Aflalo Mattias Marder Avrech Ben-David Santiago Miret Shie Mannor Tamir Hazan Hanlin Tang Somdeb Majumdar GNN 19 11 0 14 Jul 2020
Node Copying for Protection Against Graph Neural Network Topology Attacks Florence Regol Soumyasundar Pal Mark J. Coates AAML GNN 8 1 0 09 Jul 2020
Learning Graph Structure With A Finite-State Automaton Layer Daniel D. Johnson Hugo Larochelle Daniel Tarlow GNN AI4CE 8 16 0 09 Jul 2020
Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering Approach Qitian Wu Hengrui Zhang Xiao-Zhi Gao Junchi Yan H. Zha CML 16 42 0 09 Jul 2020
Graph Convolutional Networks for Graphs Containing Missing Features Hibiki Taguchi Xin Liu T. Murata GNN 25 84 0 09 Jul 2020
Adversarial learning for product recommendation Joel R. Bock A. Maewal GAN CML 6 9 0 07 Jul 2020
PinnerSage: Multi-Modal User Embedding Framework for Recommendations at Pinterest Aditya Pal Chantat Eksombatchai Yitong Zhou Bo Zhao Charles R. Rosenberg J. Leskovec 6 132 0 07 Jul 2020
RGCF: Refined Graph Convolution Collaborative Filtering with concise and expressive embedding Kang Liu Feng Xue Richang Hong GNN 23 9 0 07 Jul 2020
ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction Zhong Hao Chengqiang Lu Zheyuan Hu Hongya Wang Zhenya Huang Qi Liu Enhong Chen Cheekong Lee 12 136 0 07 Jul 2020
GE-SpMM: General-purpose Sparse Matrix-Matrix Multiplication on GPUs for Graph Neural Networks Guyue Huang Guohao Dai Yu Wang Huazhong Yang GNN 24 121 0 07 Jul 2020
Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural Networks Amol Kapoor X. Ben Luyang Liu Bryan Perozzi Matt Barnes Martin J. Blais S. O’Banion 25 192 0 06 Jul 2020
Learning Color Compatibility in Fashion Outfits Heming Zhang Xuewen Yang Jianchao Tan Chi-Hao Wu Jue Wang C.-C. Jay Kuo 11 12 0 05 Jul 2020
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks Xiao Wang Meiqi Zhu Deyu Bo Peng Cui C. Shi J. Pei BDL 14 480 0 05 Jul 2020
Simple and Deep Graph Convolutional Networks Ming Chen Zhewei Wei Zengfeng Huang Bolin Ding Yaliang Li GNN 32 1,449 0 04 Jul 2020
AEGCN: An Autoencoder-Constrained Graph Convolutional Network Mingyuan Ma Sen Na Hongyu Wang GNN 21 28 0 03 Jul 2020
Disentangled Graph Collaborative Filtering Xiang Wang Hongye Jin An Zhang Xiangnan He Tong Bill Xu Tat-Seng Chua 26 533 0 03 Jul 2020
Adaptive Graph Encoder for Attributed Graph Embedding Ganqu Cui Jie Zhou Cheng Yang Zhiyuan Liu 14 218 0 03 Jul 2020
Scaling Graph Neural Networks with Approximate PageRank Aleksandar Bojchevski Johannes Klicpera Bryan Perozzi Amol Kapoor Martin J. Blais Benedek Rozemberczki Michal Lukasik Stephan Günnemann GNN 21 367 0 03 Jul 2020
MIRA: Leveraging Multi-Intention Co-click Information in Web-scale Document Retrieval using Deep Neural Networks Yusi Zhang Chuanjie Liu Angen Luo Hui Xue Xuan Shan Y. Luo Yiqian Xia Yuanchi Yan Haidong Wang 6 6 0 03 Jul 2020
Graph Neural Networks Including Sparse Interpretability Chris Lin Gerald J. Sun K. Bulusu J. Dry Marylens Hernandez 6 7 0 30 Jun 2020
Graph Clustering with Graph Neural Networks Anton Tsitsulin John Palowitch Bryan Perozzi Emmanuel Müller GNN AI4CE 12 258 0 30 Jun 2020
Approximating Network Centrality Measures Using Node Embedding and Machine Learning Matheus R. F. Mendonça André Barreto A. Ziviani GNN 12 20 0 29 Jun 2020
Investigating and Mitigating Degree-Related Biases in Graph Convolutional Networks Xianfeng Tang Huaxiu Yao Yiwei Sun Yiqi Wang Jiliang Tang Charu C. Aggarwal P. Mitra Suhang Wang 20 2 0 28 Jun 2020
Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters Wenhui Yu Zheng Qin GNN 8 92 0 28 Jun 2020
GPT-GNN: Generative Pre-Training of Graph Neural Networks Ziniu Hu Yuxiao Dong Kuansan Wang Kai-Wei Chang Yizhou Sun SSL AI4CE 18 547 0 27 Jun 2020
Hop Sampling: A Simple Regularized Graph Learning for Non-Stationary Environments Young-Jin Park Kyuyong Shin KyungHyun Kim 30 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 22 33 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 22 84 0 24 Jun 2020
Non-Parametric Graph Learning for Bayesian Graph Neural Networks Soumyasundar Pal Saber Malekmohammadi Florence Regol Yingxue Zhang Yishi Xu Mark J. Coates 24 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 9 132 0 23 Jun 2020
Graph Neural Networks for Node-Level Predictions Christoph Heindl GNN AI4CE 17 1 0 22 Jun 2020
Graph Neural Networks in TensorFlow and Keras with Spektral Daniele Grattarola C. Alippi GNN 8 154 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 8 26 0 22 Jun 2020
Zero-Shot Learning with Common Sense Knowledge Graphs Nihal V. Nayak Stephen H. Bach VLM 18 36 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 6 628 0 18 Jun 2020
Class-Attentive Diffusion Network for Semi-Supervised Classification Jongin Lim Daeho Um H. Chang D. Jo J. Choi 23 14 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 38 931 0 17 Jun 2020
Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting Giorgos Bouritsas Fabrizio Frasca S. Zafeiriou M. Bronstein 41 423 0 16 Jun 2020
Graph Meta Learning via Local Subgraphs Kexin Huang Marinka Zitnik 29 161 0 14 Jun 2020
DeeperGCN: All You Need to Train Deeper GCNs Guohao Li Chenxin Xiong Ali K. Thabet Bernard Ghanem GNN 14 431 0 13 Jun 2020
Knowledge Embedding Based Graph Convolutional Network Donghan Yu Yiming Yang Ruohong Zhang Yuexin Wu GNN 6 11 0 12 Jun 2020
Attention improves concentration when learning node embeddings Matthew Dippel Adam Kiezun Tanay Mehta Ravi Sundaram S. Thirumalai Akshar Varma GNN 4 0 0 11 Jun 2020
Data Augmentation for Graph Neural Networks Tong Zhao Yozen Liu Leonardo Neves Oliver J. Woodford Meng-Long Jiang Neil Shah GNN 21 407 0 11 Jun 2020
Calendar Graph Neural Networks for Modeling Time Structures in Spatiotemporal User Behaviors D. Wang Meng-Long Jiang Munira Syed Oliver Conway Vishal Juneja Sriram Subramanian Nitesh V. Chawla AI4TS 6 38 0 11 Jun 2020
Wide and Deep Graph Neural Networks with Distributed Online Learning Zhan Gao Fernando Gama Alejandro Ribeiro GNN 25 10 0 11 Jun 2020