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
Situating Recommender Systems in Practice: Towards Inductive Learning and Incremental Updates Tobias Schnabel Mengting Wan Longqi Yang HAI 57 9 0 11 Nov 2022
A Comprehensive Survey on Distributed Training of Graph Neural Networks Haiyang Lin Yurui Lai Xiaochun Ye Xiaochun Ye Shirui Pan Wenguang Chen Yuan Xie GNN 115 27 0 10 Nov 2022
TimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative Filtering Seoyoung Hong Minju Jo Seung-Uk Kook Jaeeun Jung Hyowon Wi Noseong Park Sung-Bae Cho AI4TS 61 6 0 08 Nov 2022
Graph Contrastive Learning with Implicit Augmentations Huidong Liang Xingjian Du Bilei Zhu Zejun Ma Ke Chen Junbin Gao 89 30 0 07 Nov 2022
Exponentially Improving the Complexity of Simulating the Weisfeiler-Lehman Test with Graph Neural Networks Anders Aamand Justin Y. Chen Piotr Indyk Shyam Narayanan R. Rubinfeld Nicholas Schiefer Sandeep Silwal Tal Wagner 83 21 0 06 Nov 2022
Unlearning Graph Classifiers with Limited Data Resources Chao Pan Eli Chien O. Milenkovic MU 76 34 0 06 Nov 2022
Impact Of Missing Data Imputation On The Fairness And Accuracy Of Graph Node Classifiers Haris Mansoor Sarwan Ali Shafiq Alam Muhammad Asad Khan U. Hassan Imdadullah Khan FaML 78 5 0 01 Nov 2022
Track2Vec: fairness music recommendation with a GPU-free customizable-driven framework Wei Du Wei-Yao Wang Chao-Han Huck Yang 61 0 0 29 Oct 2022
Training Graph Neural Networks on Growing Stochastic Graphs J. Cerviño Luana Ruiz Alejandro Ribeiro GNN 83 8 0 27 Oct 2022
TuneUp: A Simple Improved Training Strategy for Graph Neural Networks Weihua Hu Kaidi Cao Kexin Huang E-Wen Huang Karthik Subbian Kenji Kawaguchi J. Leskovec 85 0 0 26 Oct 2022
Network Aware Compute and Memory Allocation in Optically Composable Data Centres with Deep Reinforcement Learning and Graph Neural Networks Zacharaya Shabka G. Zervas GNN 46 4 0 26 Oct 2022
Layer-Neighbor Sampling -- Defusing Neighborhood Explosion in GNNs M. F. Balin Ümit V. Çatalyürek 85 17 0 24 Oct 2022
Binary Graph Convolutional Network with Capacity Exploration Junfu Wang Yuanfang Guo Liang Yang Yun-an Wang GNN 53 5 0 24 Oct 2022
Graph Few-shot Learning with Task-specific Structures Song Wang Chen Chen Jundong Li 95 24 0 21 Oct 2022
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research Challenges Mario Alfonso Prado-Romero Bardh Prenkaj Giovanni Stilo F. Giannotti CML 139 33 0 21 Oct 2022
Global Counterfactual Explainer for Graph Neural Networks Mert Kosan Zexi Huang Sourav Medya Sayan Ranu Ambuj K. Singh 108 51 0 21 Oct 2022
RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations Zirui Liu Sheng-Wei Chen Kaixiong Zhou Daochen Zha Xiao Huang Helen Zhou 115 17 0 19 Oct 2022
On Classification Thresholds for Graph Attention with Edge Features Kimon Fountoulakis Dake He Silvio Lattanzi Bryan Perozzi Anton Tsitsulin Shenghao Yang GNN 99 6 0 18 Oct 2022
Code Recommendation for Open Source Software Developers Yiqiao Jin Yunsheng Bai Yanqiao Zhu Yizhou Sun Wei Wang 97 24 0 15 Oct 2022
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 77 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 Helen Zhou Zhangyang Wang GNN 99 58 0 14 Oct 2022
Linkless Link Prediction via Relational Distillation Zhichun Guo William Shiao Shichang Zhang Yozen Liu Nitesh Chawla Neil Shah Tong Zhao 118 43 0 11 Oct 2022
Less is More: SlimG for Accurate, Robust, and Interpretable Graph Mining Jaemin Yoo Meng-Chieh Lee Shubhranshu Shekhar Christos Faloutsos 137 8 0 08 Oct 2022
Learning the Network of Graphs for Graph Neural Networks Yixiang Shan Jielong Yang Xing Liu Yixing Gao Hechang Chen Shiping Ge 54 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 144 64 0 07 Oct 2022
Graph Classification via Discriminative Edge Feature Learning Yang Yi Xuequan Lu Shang Gao A. Robles-Kelly Yuejie Zhang GNN 74 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 78 37 0 05 Oct 2022
Towards Prototype-Based Self-Explainable Graph Neural Network Enyan Dai Suhang Wang 73 13 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 68 39 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 125 59 0 02 Oct 2022
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization Xiaotian Han Tong Zhao Yozen Liu Helen Zhou Neil Shah GNN 142 39 0 30 Sep 2022
Contrastive Graph Few-Shot Learning Chunhui Zhang Hongfu Liu Jundong Li Yanfang Ye Chuxu Zhang 70 1 0 30 Sep 2022
Efficient Graph based Recommender System with Weighted Averaging of Messages Faizan Ahemad 23 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 91 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 140 12 0 28 Sep 2022
Flattened Graph Convolutional Networks For Recommendation Yue Xu Hao Chen Zengde Deng Yuanchen Bei Feiran Huang BDL GNN 35 1 0 25 Sep 2022
Rethinking the compositionality of point clouds through regularization in the hyperbolic space Antonio Montanaro D. Valsesia E. Magli 3DPC 85 32 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 109 48 0 21 Sep 2022
Dynamic Relevance Graph Network for Knowledge-Aware Question Answering Chen Zheng Parisa Kordjamshidi 42 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 96 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 58 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 129 16 0 19 Sep 2022
Rethinking Personalized Ranking at Pinterest: An End-to-End Approach Jiajing Xu Andrew Zhai Charles R. Rosenberg 75 18 0 18 Sep 2022
Flashlight: Scalable Link Prediction with Effective Decoders Yiwei Wang Bryan Hooi Yozen Liu Tong Zhao Zhichun Guo Neil Shah BDL 122 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 112 37 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 107 94 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 48 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 103 24 0 11 Sep 2022
SUPER-Rec: SUrrounding Position-Enhanced Representation for Recommendation Taejun Lim Siqu Long Josiah Poon S. Han 35 0 0 09 Sep 2022
Analyzing the Effect of Sampling in GNNs on Individual Fairness Rebecca Salganik Fernando Diaz G. Farnadi 70 1 0 08 Sep 2022