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
Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again Ajay Jaiswal Peihao Wang Tianlong Chen Justin F. Rousseau Ying Ding Zhangyang Wang 27 10 0 14 Oct 2022
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking Keyu Duan Zirui Liu Peihao Wang Wenqing Zheng Kaixiong Zhou Tianlong Chen Xia Hu Zhangyang Wang GNN 36 57 0 14 Oct 2022
Linkless Link Prediction via Relational Distillation Zhichun Guo William Shiao Shichang Zhang Yozen Liu Nitesh V. Chawla Neil Shah Tong Zhao 21 41 0 11 Oct 2022
Less is More: SlimG for Accurate, Robust, and Interpretable Graph Mining Jaemin Yoo Meng-Chieh Lee Shubhranshu Shekhar Christos Faloutsos 40 8 0 08 Oct 2022
Learning the Network of Graphs for Graph Neural Networks Yixiang Shan Jielong Yang Xing Liu Yixing Gao Hechang Chen S. Ge 9 0 0 08 Oct 2022
Empowering Graph Representation Learning with Test-Time Graph Transformation Wei Jin Tong Zhao Jiayu Ding Yozen Liu Jiliang Tang Neil Shah OOD 86 60 0 07 Oct 2022
Graph Classification via Discriminative Edge Feature Learning Yang Yi Xuequan Lu Shang Gao A. Robles-Kelly Yuejie Zhang GNN 31 7 0 05 Oct 2022
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization Mingxuan Ju Tong Zhao Qianlong Wen Wenhao Yu Neil Shah Yanfang Ye Chuxu Zhang SSL 13 34 0 05 Oct 2022
Towards Prototype-Based Self-Explainable Graph Neural Network Enyan Dai Suhang Wang 25 12 0 05 Oct 2022
Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples Wei Duan Junyu Xuan Maoying Qiao Jie Lu SSL 10 37 0 03 Oct 2022
Gradient Gating for Deep Multi-Rate Learning on Graphs T. Konstantin Rusch B. Chamberlain Michael W. Mahoney Michael M. Bronstein Siddhartha Mishra 76 53 0 02 Oct 2022
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization Xiaotian Han Tong Zhao Yozen Liu Xia Hu Neil Shah GNN 52 36 0 30 Sep 2022
Contrastive Graph Few-Shot Learning Chunhui Zhang Hongfu Liu Jundong Li Yanfang Ye Chuxu Zhang 22 1 0 30 Sep 2022
Efficient Graph based Recommender System with Weighted Averaging of Messages Faizan Ahemad 11 1 0 30 Sep 2022
How Powerful is Implicit Denoising in Graph Neural Networks Songtao Liu Rex Ying Hanze Dong Lu Lin Jinghui Chen Di Wu GNN AI4CE 22 3 0 29 Sep 2022
LL-GNN: Low Latency Graph Neural Networks on FPGAs for High Energy Physics Zhiqiang Que Hongxiang Fan Marcus Loo He Li Michaela Blott M. Pierini A. Tapper Wayne Luk GNN 29 12 0 28 Sep 2022
Flattened Graph Convolutional Networks For Recommendation Yue Xu Hao Chen Zengde Deng Yuan-Qi Bei Feiran Huang BDL GNN 13 1 0 25 Sep 2022
Rethinking the compositionality of point clouds through regularization in the hyperbolic space Antonio Montanaro D. Valsesia E. Magli 3DPC 41 31 0 21 Sep 2022
A Comprehensive Survey on Trustworthy Recommender Systems Wenqi Fan Xiangyu Zhao Xiao Chen Jingran Su Jingtong Gao ... Qidong Liu Yiqi Wang Hanfeng Xu Lei Chen Qing Li FaML 37 46 0 21 Sep 2022
Dynamic Relevance Graph Network for Knowledge-Aware Question Answering Chen Zheng Parisa Kordjamshidi 11 6 0 20 Sep 2022
Neural Graph Databases Maciej Besta Patrick Iff Florian Scheidl Kazuki Osawa Nikoli Dryden Michal Podstawski Tiancheng Chen Torsten Hoefler AI4CE 45 9 0 20 Sep 2022
Physics-Constrained Neural Network for Design and Feature-Based Optimization of Weave Architectures Haotian Feng Sabari Subramaniyan H. Tewani P. Prabhakar AI4CE 14 4 0 19 Sep 2022
Interpreting the Mechanism of Synergism for Drug Combinations Using Attention-Based Hierarchical Graph Pooling Zehao Dong Heming Zhang Yixin Chen Philip R. O. Payne Fuhai Li GNN 38 16 0 19 Sep 2022
Rethinking Personalized Ranking at Pinterest: An End-to-End Approach Jiajing Xu Andrew Zhai Charles R. Rosenberg 17 17 0 18 Sep 2022
Flashlight: Scalable Link Prediction with Effective Decoders Yiwei Wang Bryan Hooi Yozen Liu Tong Zhao Zhichun Guo Neil Shah BDL 6 6 0 17 Sep 2022
On the Robustness of Graph Neural Diffusion to Topology Perturbations Yang Song Qiyu Kang Sijie Wang Zhao Kai Wee Peng Tay DiffM AAML 57 35 0 16 Sep 2022
TwHIN-BERT: A Socially-Enriched Pre-trained Language Model for Multilingual Tweet Representations at Twitter Xinyang Zhang Yury Malkov Omar U. Florez Serim Park Brian McWilliams Jiawei Han Ahmed El-Kishky VLM 61 90 0 15 Sep 2022
DiP-GNN: Discriminative Pre-Training of Graph Neural Networks Simiao Zuo Haoming Jiang Qingyu Yin Xianfeng Tang Bing Yin Tuo Zhao 14 0 0 15 Sep 2022
Towards Sparsification of Graph Neural Networks Hongwu Peng Deniz Gurevin Shaoyi Huang Tong Geng Weiwen Jiang O. Khan Caiwen Ding GNN 30 24 0 11 Sep 2022
SUPER-Rec: SUrrounding Position-Enhanced Representation for Recommendation Taejun Lim Siqu Long Josiah Poon S. Han 11 0 0 09 Sep 2022
Analyzing the Effect of Sampling in GNNs on Individual Fairness Rebecca Salganik Fernando Diaz G. Farnadi 24 1 0 08 Sep 2022
One-class Recommendation Systems with the Hinge Pairwise Distance Loss and Orthogonal Representations Ramin Raziperchikolaei Young-joo Chung 19 0 0 31 Aug 2022
A Review of Knowledge Graph Completion Mohamad Zamini Hassan Reza M. Rabiei 21 59 0 24 Aug 2022
Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label Propagation Jun Zhuang M. Hasan 23 20 0 21 Aug 2022
Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching Yeonhong Park Sunhong Min Jae W. Lee GNN 22 34 0 19 Aug 2022
GraTO: Graph Neural Network Framework Tackling Over-smoothing with Neural Architecture Search Xinshun Feng Herun Wan Shangbin Feng Hongrui Wang Jun Zhou Qinghua Zheng Minnan Luo 16 4 0 18 Aug 2022
Embracing Graph Neural Networks for Hardware Security (Invited Paper) Lilas Alrahis Satwik Patnaik Muhammad Shafique Ozgur Sinanoglu 14 16 0 17 Aug 2022
DuETA: Traffic Congestion Propagation Pattern Modeling via Efficient Graph Learning for ETA Prediction at Baidu Maps Jizhou Huang Zhengjie Huang Xiaomin Fang Shi Feng Xuyi Chen Jiaxiang Liu Haitao Yuan Haifeng Wang AI4TS 22 13 0 15 Aug 2022
Generating Negative Samples for Sequential Recommendation Yong-Guang Chen Jia Li Zhiwei Liu N. Keskar Haiquan Wang Julian McAuley Caiming Xiong 20 4 0 07 Aug 2022
LFGCF: Light Folksonomy Graph Collaborative Filtering for Tag-Aware Recommendation Yin Zhang Can Xu Xianjun Wu Yan Zhang Ligang Dong Weigang Wang 11 1 0 06 Aug 2022
PGX: A Multi-level GNN Explanation Framework Based on Separate Knowledge Distillation Processes Tien-Cuong Bui Wen-Syan Li S. Cha 6 1 0 05 Aug 2022
GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations Ziheng Chen Fabrizio Silvestri Jia Wang Yongfeng Zhang Zhenhua Huang H. Ahn Gabriele Tolomei CML 15 27 0 04 Aug 2022
Node Copying: A Random Graph Model for Effective Graph Sampling Florence Regol Soumyasundar Pal Jianing Sun Yingxue Zhang Yanhui Geng Mark J. Coates 29 5 0 04 Aug 2022
Personalised recommendations of sleep behaviour with neural networks using sleep diaries captured in Sleepio A. Nevado-Holgado C. Espie M. Liakata A. Henry J. Gu Niall Taylor K. Saunders Tom Walker C. Miller 20 0 0 29 Jul 2022
Self-Supervised Hypergraph Transformer for Recommender Systems Lianghao Xia Chao Huang Chuxu Zhang 22 109 0 28 Jul 2022
Learning Personalized Representations using Graph Convolutional Network Hongyu Shen Jinoh Oh Shuai Zhao Guoyin Wang Taraneh Taghavi Sungjin Lee GNN AI4TS 23 1 0 28 Jul 2022
Analysis and Optimization of GNN-Based Recommender Systems on Persistent Memory Yuwei Hu Jiajie Li Zhongming Yu Zhiru Zhang GNN 36 0 0 25 Jul 2022
Privacy and Transparency in Graph Machine Learning: A Unified Perspective Megha Khosla 21 4 0 22 Jul 2022
Knowledge-enhanced Black-box Attacks for Recommendations Jingfan Chen Wenqi Fan Guanghui Zhu Xiangyu Zhao C. Yuan Qing Li Y. Huang MLAU AAML 32 50 0 21 Jul 2022
SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization Ningyi Liao Dingheng Mo Siqiang Luo Xiang Li Pengcheng Yin GNN AI4CE 16 21 0 19 Jul 2022