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
Co-embedding of Nodes and Edges with Graph Neural Networks Xiaodong Jiang Ronghang Zhu Pengsheng Ji Sheng R. Li GNN 14 74 0 25 Oct 2020
Efficient, Simple and Automated Negative Sampling for Knowledge Graph Embedding Yongqi Zhang Quanming Yao Lei Chen BDL 11 6 0 24 Oct 2020
Graph Information Bottleneck Tailin Wu Hongyu Ren Pan Li J. Leskovec AAML 88 224 0 24 Oct 2020
Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method Fuli Feng Weiran Huang Xiangnan He Xin Xin Qifan Wang Tat-Seng Chua GNN CML 10 62 0 22 Oct 2020
Metapath- and Entity-aware Graph Neural Network for Recommendation Muhammad Umer Anwaar Zhiwei Han Shyam Arumugaswamy Rayyan Ahmad Khan Thomas Weber Tianming Qiu Hao Shen Yuanting Liu M. Kleinsteuber 11 8 0 22 Oct 2020
Basket Recommendation with Multi-Intent Translation Graph Neural Network Zhiwei Liu Xiaohan Li Ziwei Fan Stephen D. Guo Kannan Achan Philip S. Yu 15 40 0 22 Oct 2020
Rethinking pooling in graph neural networks Diego Mesquita Amauri Souza Samuel Kaski GNN AI4CE 20 116 0 22 Oct 2020
Self-supervised Graph Learning for Recommendation Jiancan Wu Xiang Wang Fuli Feng Xiangnan He Liang Chen Jianxun Lian Xing Xie SSL 6 1,113 0 21 Oct 2020
Directed Graph Representation through Vector Cross Product Ramanujam Madhavan Mohit Wadhwa 23 2 0 21 Oct 2020
Action Sequence Augmentation for Early Graph-based Anomaly Detection Tong Zhao Bo Ni Wenhao Yu Zhichun Guo Neil Shah Meng-Long Jiang 32 19 0 20 Oct 2020
Robust Optimization as Data Augmentation for Large-scale Graphs Kezhi Kong G. Li Mucong Ding Zuxuan Wu Chen Zhu Bernard Ghanem Gavin Taylor Tom Goldstein 101 74 0 19 Oct 2020
Discriminability of Single-Layer Graph Neural Networks Samuel Pfrommer Fernando Gama Alejandro Ribeiro 34 9 0 17 Oct 2020
Predicting Biomedical Interactions with Higher-Order Graph Convolutional Networks K. Kishan Rui Li F. Cui Anne R. Haake GNN 14 25 0 16 Oct 2020
Towards Expressive Graph Representation Chengsheng Mao Liang Yao Yuan Luo 19 2 0 12 Oct 2020
DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs Da Zheng Chao Ma Minjie Wang Jinjing Zhou Qidong Su Xiang Song Quan Gan Zheng-Wei Zhang George Karypis FedML GNN 19 241 0 11 Oct 2020
Accurate, Efficient and Scalable Training of Graph Neural Networks Hanqing Zeng Hongkuan Zhou Ajitesh Srivastava R. Kannan Viktor Prasanna GNN 14 8 0 05 Oct 2020
CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks Jiaqi Ma B. Chang Xuefei Zhang Qiaozhu Mei 31 14 0 05 Oct 2020
A Unified View on Graph Neural Networks as Graph Signal Denoising Yao Ma Xiaorui Liu Tong Zhao Yozen Liu Jiliang Tang Neil Shah AI4CE 36 176 0 05 Oct 2020
The Surprising Power of Graph Neural Networks with Random Node Initialization Ralph Abboud .Ismail .Ilkan Ceylan Martin Grohe Thomas Lukasiewicz 11 215 0 02 Oct 2020
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators S. Abadal Akshay Jain Robert Guirado Jorge López-Alonso Eduard Alarcón GNN 25 225 0 30 Sep 2020
Graph Neural Networks with Heterophily Jiong Zhu Ryan A. Rossi Anup B. Rao Tung Mai Nedim Lipka Nesreen Ahmed Danai Koutra 20 301 0 28 Sep 2020
Information Obfuscation of Graph Neural Networks Peiyuan Liao Han Zhao Keyulu Xu Tommi Jaakkola Geoffrey J. Gordon Stefanie Jegelka Ruslan Salakhutdinov AAML 8 34 0 28 Sep 2020
Inductive Graph Embeddings through Locality Encodings Nurudin Alvarez-Gonzalez Andreas Kaltenbrunner Vicencc Gómez GNN 10 1 0 26 Sep 2020
Revisiting Graph Convolutional Network on Semi-Supervised Node Classification from an Optimization Perspective Hongwei Zhang Tijin Yan Zenjun Xie Yuanqing Xia Yuan Zhang GNN 13 24 0 24 Sep 2020
C-SAW: A Framework for Graph Sampling and Random Walk on GPUs Santosh Pandey Lingda Li A. Hoisie X. Li Hang Liu 20 60 0 18 Sep 2020
Accelerating Graph Sampling for Graph Machine Learning using GPUs Abhinav Jangda Sandeep Polisetty Arjun Guha Marco Serafini GNN 14 76 0 14 Sep 2020
Carousel Personalization in Music Streaming Apps with Contextual Bandits Walid Bendada Guillaume Salha-Galvan Théo Bontempelli 13 56 0 14 Sep 2020
Implicit Graph Neural Networks Fangda Gu Heng Chang Wenwu Zhu Somayeh Sojoudi L. Ghaoui GNN 18 147 0 14 Sep 2020
CatGCN: Graph Convolutional Networks with Categorical Node Features Weijia Chen Fuli Feng Qifan Wang Xiangnan He Chonggang Song Guohui Ling Yongdong Zhang GNN 22 22 0 11 Sep 2020
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization Qi Zhu Carl Yang Yidan Xu Haonan Wang Chao Zhang Jiawei Han 37 115 0 11 Sep 2020
Implicit Feedback Deep Collaborative Filtering Product Recommendation System K. Bhaskar D. Kundur Y. Lawryshyn BDL 4 3 0 08 Sep 2020
Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering Jingtao Ding Yuhan Quan Quanming Yao Yong Li Depeng Jin 11 97 0 07 Sep 2020
GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training Tianle Cai Shengjie Luo Keyulu Xu Di He Tie-Yan Liu Liwei Wang GNN 16 158 0 07 Sep 2020
Online Disease Self-diagnosis with Inductive Heterogeneous Graph Convolutional Networks Zifeng Wang Rui Wen Xi Chen Shilei Cao Shao-Lun Huang B. Qian Yefeng Zheng 14 30 0 06 Sep 2020
Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information Enyan Dai Suhang Wang FaML 11 239 0 03 Sep 2020
Lifelong Graph Learning Chen Wang Yuheng Qiu Dasong Gao S. Scherer CLL GNN AI4CE 26 51 0 01 Sep 2020
A Metamodel and Framework for AGI Hugo Latapie Özkan Kiliç 9 1 0 28 Aug 2020
Simplifying Architecture Search for Graph Neural Network Huan Zhao Lanning Wei Quanming Yao GNN AI4CE 12 52 0 26 Aug 2020
Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach Kelong Mao Xi Xiao Jieming Zhu Biao Lu Ruiming Tang Xiuqiang He 34 22 0 26 Aug 2020
Learning Node Representations against Perturbations Xu Chen Yuangang Pan Ivor Tsang Ya-Qin Zhang 11 3 0 26 Aug 2020
FeatGraph: A Flexible and Efficient Backend for Graph Neural Network Systems Yuwei Hu Zihao Ye Minjie Wang Jiali Yu Da Zheng Mu Li Zheng-Wei Zhang Zhiru Zhang Yida Wang GNN 33 80 0 26 Aug 2020
GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems Yishi Xu Yingxue Zhang Wei Guo Huifeng Guo Ruiming Tang Mark J. Coates CLL 4 79 0 25 Aug 2020
Towards Structured Prediction in Bioinformatics with Deep Learning Yu Li AI4CE 6 1 0 25 Aug 2020
Explainable Recommender Systems via Resolving Learning Representations Ninghao Liu Yong Ge Li Li Xia Hu Rui Chen Soo-Hyun Choi 11 24 0 21 Aug 2020
A comparative study of similarity-based and GNN-based link prediction approaches K. Islam Sabeur Aridhi Malika Smaïl-Tabbone 14 10 0 20 Aug 2020
LGNN: A Context-aware Line Segment Detector Quan Meng Jiakai Zhang Qiang Hu Xuming He Jingyi Yu 17 24 0 13 Aug 2020
Adversarial Directed Graph Embedding Shijie Zhu Jianxin Li Hao Peng Senzhang Wang Lifang He GAN GNN 9 43 0 09 Aug 2020
Graph Neural Networks: Architectures, Stability and Transferability Luana Ruiz Fernando Gama Alejandro Ribeiro GNN 42 121 0 04 Aug 2020
Peer-inspired Student Performance Prediction in Interactive Online Question Pools with Graph Neural Network Haotian Li Huan Wei Yong Wang Yangqiu Song Huamin Qu AI4Ed 49 30 0 04 Aug 2020
Embedding Ranking-Oriented Recommender System Graphs Taher Hekmatfar Saman Haratizadeh S. Goliaei 17 7 0 31 Jul 2020