Graph Convolutional Neural Networks for Web-Scale Recommender Systems

6 June 2018

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

50 / 1,342 papers shown

Title
Just Propagate: Unifying Matrix Factorization, Network Embedding, and LightGCN for Link Prediction Haoxin Liu 78 0 0 26 Oct 2024
Perturbation-based Graph Active Learning for Weakly-Supervised Belief Representation Learning Dachun Sun Ruijie Wang Jinning Li Ruipeng Han Xinyi Liu You Lyu Tarek Abdelzaher 135 0 0 24 Oct 2024
Improving Pinterest Search Relevance Using Large Language Models Han Wang Mukuntha Narayanan Sundararaman Onur Gungor Yu Xu Krishna Kamath Rakesh Chalasani Kurchi Subhra Hazra Jinfeng Rao LRM 187 5 0 22 Oct 2024
Focus Where It Matters: Graph Selective State Focused Attention Networks Shikhar Vashistha Neetesh Kumar 132 0 0 21 Oct 2024
Learning to Control the Smoothness of Graph Convolutional Network Features Shih-Hsin Wang Justin Baker Cory Hauck Bao Wang 142 0 0 18 Oct 2024
ECGN: A Cluster-Aware Approach to Graph Neural Networks for Imbalanced Classification Bishal Thapaliya Anh Nguyen Yao Lu Tian Xie Igor Grudetskyi Fudong Lin Antonios Valkanas Jingyu Liu Deepayan Chakraborty Bilel Fehri 186 3 0 15 Oct 2024
CoActionGraphRec: Sequential Multi-Interest Recommendations Using Co-Action Graphs Yi Sun Yuri M. Brovman 69 1 0 15 Oct 2024
Towards Stable, Globally Expressive Graph Representations with Laplacian Eigenvectors Junru Zhou Cai Zhou Xiyuan Wang Pan Li Muhan Zhang 263 1 0 13 Oct 2024
Bayesian Sheaf Neural Networks Patrick Gillespie Vasileios Maroulas Ioannis Schizas D. Boothe Vasileios Maroulas 152 3 0 12 Oct 2024
Identifying Money Laundering Subgraphs on the BlockchainInternational Conference on AI in Finance (ICAF), 2024 Kiwhan Song Mohamed Ali Dhraief Muhua Xu Locke Cai Xuhao Chen Arvind Jie Chen 125 4 0 10 Oct 2024
Privately Learning from Graphs with Applications in Fine-tuning Large Language Models Haoteng Yin Rongzhe Wei Eli Chien P. Li 372 1 0 10 Oct 2024
Diversified and Adaptive Negative Sampling on Knowledge Graphs Ran Liu Zhongzhou Liu Xiaoli Li Hao Wu Yuan Fang 136 0 0 10 Oct 2024
ERCache: An Efficient and Reliable Caching Framework for Large-Scale User Representations in Meta's Ads System F. I. S. Kevin Zhou Yaning Huang Dong Liang Dai Li Zhongke Zhang ... Emanuele Maccherani Taha Hayat John Guo Varna Puvvada Uladzimir Pashkevich 141 0 0 09 Oct 2024
Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks Rui Xue Tong Zhao Neil Shah Xiaorui Liu GNN 152 2 0 07 Oct 2024
Supra-Laplacian Encoding for Transformer on Dynamic GraphsNeural Information Processing Systems (NeurIPS), 2024 Yannis Karmim Marc Lafon Raphael Fournier SÑiehotta Nicolas Thome 206 5 0 26 Sep 2024
FastGL: A GPU-Efficient Framework for Accelerating Sampling-Based GNN Training at Large ScaleInternational Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2024 Zeyu Zhu Peisong Wang Qinghao Hu Gang Li Xiaoyao Liang Jian Cheng GNN 167 3 0 23 Sep 2024
Robust Training Objectives Improve Embedding-based Retrieval in Industrial Recommendation Systems Matthew Kolodner Mingxuan Ju Zihao Fan Tong Zhao Elham Ghazizadeh Yan Wu Neil Shah Yozen Liu 141 7 0 23 Sep 2024
Can Graph Reordering Speed Up Graph Neural Network Training? An Experimental StudyProceedings of the VLDB Endowment (PVLDB), 2024 Nikolai Merkel Pierre Toussing R. Mayer Hans-Arno Jacobsen GNN 245 5 0 17 Sep 2024
Negative Sampling in Recommendation: A Survey and Future Directions Javier Yong Ruobing Xie Lei Meng Fuli Feng Xiaoyu Du Xingwu Sun Zhanhui Kang Xiangxu Meng 193 13 0 11 Sep 2024
Debiasing Graph Representation Learning based on Information BottleneckIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024 Ziyi Zhang Mingxuan Ouyang Wanyu Lin Hao Lan Lei Yang FaML 227 1 0 02 Sep 2024
HopGNN: Boosting Distributed GNN Training Efficiency via Feature-Centric Model Migration Weijian Chen Shuibing He Haoyang Qu Xuechen Zhang GNN 284 1 0 01 Sep 2024
GSTAM: Efficient Graph Distillation with Structural Attention-Matching Arash Rasti-Meymandi A. Sajedi Zhaopan Xu Konstantinos N. Plataniotis 243 0 0 29 Aug 2024
Graph and Sequential Neural Networks in Session-based Recommendation: A SurveyACM Computing Surveys (ACM CSUR), 2024 Zihao Li Chao Yang Yakun Chen Xianzhi Wang Hongxu Chen Guandong Xu Lina Yao Quan Z. Sheng GNN 182 21 0 27 Aug 2024
Towards Graph Prompt Learning: A Survey and Beyond Qingqing Long Yuchen Yan Peiyan Zhang Chen Fang Wentao Cui ... Shiyue Jiang Zheng Fang Chong Chen Xian-Sheng Hua Yuanchun Zhou AI4CE 229 1 0 26 Aug 2024
Applying graph neural network to SupplyGraph for supply chain network Kihwan Han 92 2 0 23 Aug 2024
HGNAS: Hardware-Aware Graph Neural Architecture Search for Edge DevicesIEEE transactions on computers (IEEE Trans. Comput.), 2024 Ao Zhou Jianlei Yang Yingjie Qi Tong Qiao Yumeng Shi Cenlin Duan Weisheng Zhao Chunming Hu GNN 174 3 0 23 Aug 2024
GAIM: Attacking Graph Neural Networks via Adversarial Influence MaximizationSDM (SDM), 2024 Xiaodong Yang Xiaoting Li Huiyuan Chen Yiwei Cai AAML 93 0 0 20 Aug 2024
Structure-enhanced Contrastive Learning for Graph ClusteringIEEE Transactions on Network Science and Engineering (TNSE), 2024 Xunlian Wu Jingqi Hu Anqi Zhang Yining Quan Qiguang Miao Peng Gang Sun 266 3 0 19 Aug 2024
EasyRec: Simple yet Effective Language Models for Recommendation Xubin Ren Chao Huang SyDa 399 13 0 16 Aug 2024
Dual-Channel Latent Factor Analysis Enhanced Graph Contrastive Learning for Recommendation Junfeng Long Hao Wu 120 0 0 09 Aug 2024
You Can't Ignore Either: Unifying Structure and Feature Denoising for Robust Graph LearningInternational Conference on Information and Knowledge Management (CIKM), 2024 Tianmeng Yang Jiahao Meng Min Zhou Yaming Yang Yujing Wang Xiangtai Li Yunhai Tong NoLa 166 5 0 01 Aug 2024
Review of Explainable Graph-Based Recommender SystemsACM Computing Surveys (ACM CSUR), 2024 Thanet Markchom Huizhi Liang James Ferryman XAI 258 1 0 31 Jul 2024
RevGNN: Negative Sampling Enhanced Contrastive Graph Learning for Academic Reviewer Recommendation Weibin Liao Yifan Zhu Yanyan Li Qi Zhang Zhonghong Ou Xuesong Li 302 15 0 30 Jul 2024
Optimizing Long-tailed Link Prediction in Graph Neural Networks through Structure Representation Enhancement Yakun Wang Daixin Wang Hongrui Liu Bin Hu Yingcui Yan Qiyang Zhang Qing Cui 211 10 0 30 Jul 2024
xAI-Drop: Don't Use What You Cannot ExplainLOG IN (LOG IN), 2024 Vincenzo Marco De Luca Antonio Longa Baptiste Caramiaux Pietro Lio 317 1 0 29 Jul 2024
UniGAP: A Universal and Adaptive Graph Upsampling Approach to Mitigate Over-Smoothing in Node Classification Tasks Xiaotang Wang Yun Zhu Haizhou Shi Yongchao Liu Chuntao Hong 277 4 0 28 Jul 2024
Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation Weizhi Zhang Liangwei Yang Zihe Song Henry Peng Zou Ke Xu Liancheng Fang Philip S. Yu GNN 228 7 0 26 Jul 2024
Graph Neural Networks: A suitable Alternative to MLPs in Latent 3D Medical Image Classification? Johannes Kiechle Daniel M. Lang Stefan M. Fischer Lina Felsner J. Peeken Julia A. Schnabel MedIm 161 3 0 24 Jul 2024
GraphScale: A Framework to Enable Machine Learning over Billion-node Graphs Vipul Gupta Xin Chen Ruoyun Huang Fanlong Meng Jianjun Chen Yujun Yan GNN 169 4 0 22 Jul 2024
Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs Huan-jing Zhao Beining Yang Yukuo Cen Junyu Ren Chenhui Zhang Yuxiao Dong Evgeny Kharlamov Shu Zhao Jie Tang VLM 184 14 0 22 Jul 2024
Large-scale Time-Varying Portfolio Optimisation using Graph Attention Networks Kamesh Korangi Christophe Mues Cristián Bravo 255 2 0 22 Jul 2024
LSM-GNN: Large-scale Storage-based Multi-GPU GNN Training by Optimizing Data Transfer Scheme Jeongmin Brian Park Kun Wu Vikram Sharma Mailthody Zaid Quresh Scott Mahlke Wen-mei W. Hwu GNN 234 2 0 21 Jul 2024
GraphMuse: A Library for Symbolic Music Graph Processing E. Karystinaios Gerhard Widmer 134 6 0 17 Jul 2024
NudgeRank: Digital Algorithmic Nudging for Personalized Health Jodi Chiam Aloysius Lim Ankur Teredesai 107 6 0 16 Jul 2024
Distributed Backdoor Attacks on Federated Graph Learning and Certified Defenses Yuxin Yang Qiang Li Jinyuan Jia Yuan Hong Binghui Wang AAML FedML 201 19 0 12 Jul 2024
Beyond Euclid: An Illustrated Guide to Modern Machine Learning with Geometric, Topological, and Algebraic Structures Sophia Sanborn Sophia Sanborn Johan Mathe Louisa Cornelis Abby Bertics ... Hansen Lillemark Christian Shewmake Fatih Dinc Xavier Pennec Nina Miolane 300 14 0 12 Jul 2024
CADC: Encoding User-Item Interactions for Compressing Recommendation Model Training Data Hossein Entezari Zarch Abdulla Alshabanah Chaoyi Jiang Murali Annavaram 226 1 0 11 Jul 2024
A Comprehensive Survey on Retrieval Methods in Recommender Systems Junjie Huang Jizheng Chen Jianghao Lin J. Qin Ziming Feng Weinan Zhang Yong Yu 183 20 0 11 Jul 2024
TinyGraph: Joint Feature and Node Condensation for Graph Neural Networks Ruijie Du Yanning Shen DD 241 7 0 10 Jul 2024
Deep-Graph-Sprints: Accelerated Representation Learning in Continuous-Time Dynamic Graphs Ahmad Naser Eddin Jacopo Bono David Aparício Hugo Ferreira Pedro Ribeiro P. Bizarro GNN 154 1 0 10 Jul 2024