Graph Convolutional Neural Networks for Web-Scale Recommender Systems

6 June 2018

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

50 / 1,341 papers shown

Title
E2E-GRec: An End-to-End Joint Training Framework for Graph Neural Networks and Recommender Systems Rui Xue Shichao Zhu Liang Qin Guangmou Pan Yang Song Tianfu Wu GNN 164 0 0 25 Nov 2025
Towards A Tri-View Diffusion Framework for Recommendation Ximing Chen Pui Ieng Lei Yijun Sheng Yanyan Liu Zhiguo Gong DiffM 168 0 0 25 Nov 2025
Rethinking Semi-Supervised Node Classification with Self-Supervised Graph Clustering Songbo Wang Renchi Yang Yurui Lai Xiaoyang Lin Tsz Nam Chan SSL 313 0 0 25 Nov 2025
Rethinking Message Passing Neural Networks with Diffusion Distance-guided Stress Majorization Haoran Zheng Renchi Yang Yubo Zhou Jianliang Xu 80 0 0 25 Nov 2025
Resolving Node Identifiability in Graph Neural Processes via Laplacian Spectral Encodings Zimo Yan Zheng Xie Chang-rui Liu Y. X. R. Wang 59 0 0 24 Nov 2025
FedPoisonTTP: A Threat Model and Poisoning Attack for Federated Test-Time Personalization Md Akil Raihan Iftee Syed Md. Ahnaf Hasan Amin Ahsan Ali A. Rahman Sajib Mistry Aneesh Krishna AAML FedML SILM TTA 270 0 0 24 Nov 2025
VISAGNN: Versatile Staleness-Aware Efficient Training on Large-Scale Graphs Rui Xue GNN 205 0 0 16 Nov 2025
Beyond the Laplacian: Interpolated Spectral Augmentation for Graph Neural Networks Ziyao Cui Edric Tam 132 0 0 14 Nov 2025
Generalizable Insights for Graph Transformers in Theory and Practice Timo Stoll Luis Muller Christopher Morris 125 0 0 11 Nov 2025
GRAVER: Generative Graph Vocabularies for Robust Graph Foundation Models Fine-tuning Haonan Yuan Qingyun Sun Junhua Shi Xingcheng Fu Bryan Hooi Jianxin Li Philip S. Yu VLM 216 1 0 05 Nov 2025
Rethinking LLM Human Simulation: When a Graph is What You Need Joseph Suh Suhong Moon Serina Chang AI4CE 117 0 0 03 Nov 2025
Traceable Drug Recommendation over Medical Knowledge Graphs Yu Lin Zhen Jia Philipp Christmann Xu Zhang Shengdong Du Tianrui Li AI4TS MedIm 88 0 0 31 Oct 2025
TV-Rec: Time-Variant Convolutional Filter for Sequential Recommendation Yehjin Shin Jeongwhan Choi Seojin Kim Noseong Park AI4TS 84 0 0 29 Oct 2025
Bridging the Divide: End-to-End Sequence-Graph Learning Yuen Chen Yulun Wu Samuel Sharpe Igor Melnyk Nam Nguyen Furong Huang C. Bayan Bruss Rizal Fathony 74 0 0 29 Oct 2025
Attention Enhanced Entity Recommendation for Intelligent Monitoring in Cloud Systems Fiza Hussain Anson Bastos Anjaly Parayil Ayush Choure Chetan Bansal Rujia Wang Saravan Rajmohan 84 0 0 23 Oct 2025
Learning Noise-Resilient and Transferable Graph-Text Alignment via Dynamic Quality Assessment Yuhang Liu Minglai Shao Zengyi Wo Yunlong Chu Bing Hao Shengzhong Liu Ruijie Wang Jianxin Li 93 0 0 22 Oct 2025
Large Scale Retrieval for the LinkedIn Feed using Causal Language Models Sudarshan Srinivasa Ramanujam Antonio Alonso Saurabh Kataria Siddharth Dangi Akhilesh Gupta ... Annie Xiao Caitlin Kolb Thomas Kistler Zach Moore Hamed Firooz RALM 90 0 0 16 Oct 2025
Enhanced Pre-training of Graph Neural Networks for Million-Scale Heterogeneous Graphs Shengyin Sun Chen Ma Jiehao Chen 141 0 0 14 Oct 2025
Integrating Sequential and Relational Modeling for User Events: Datasets and Prediction Tasks Rizal Fathony Igor Melnyk Owen Reinert Nam H. Nguyen Daniele Rosa C. Bayan Bruss AI4TS 286 1 0 13 Oct 2025
GraphTARIF: Linear Graph Transformer with Augmented Rank and Improved Focus Zhaolin Hu Kun Li Hehe Fan Yi Yang 112 0 0 12 Oct 2025
On the Problem of Consistent Anomalies in Zero-Shot Industrial Anomaly Detection Tai Le-Gia Ahn Jaehyun 164 0 0 12 Oct 2025
Generative Data Augmentation in Graph Contrastive Learning for Recommendation Yansong Wang Qihui Lin Junjie Huang Tao Jia 90 0 0 10 Oct 2025
Fundamental Limits of Crystalline Equivariant Graph Neural Networks: A Circuit Complexity Perspective Yang Cao Zhao Song Jiahao Zhang Jiale Zhao 139 0 0 07 Oct 2025
Heterogeneous Graph Representation of Stiffened Panels with Non-Uniform Boundary Conditions and Loads Yuecheng Cai J. Jelovica 100 1 0 02 Oct 2025
GraphIFE: Rethinking Graph Imbalance Node Classification via Invariant Learning Fanlong Zeng Wensheng Gan Philip S. Yu AI4CE 71 0 0 28 Sep 2025
Pure Node Selection for Imbalanced Graph Node Classification Fanlong Zeng Wensheng Gan Jiayang Wu Philip S. Yu 72 0 0 28 Sep 2025
Neighborhood Sampling Does Not Learn the Same Graph Neural Network Zehao Niu M. Anitescu Jie Chen GNN 120 0 0 26 Sep 2025
GnnXemplar: Exemplars to Explanations -- Natural Language Rules for Global GNN Interpretability Burouj Armgaan Eshan Jain Harsh Pandey Mahesh Chandran Jignesh M. Patel LLMAG 285 0 0 22 Sep 2025
Solar Forecasting with Causality: A Graph-Transformer Approach to Spatiotemporal Dependencies Yanan Niu D. Psaltis C. Moser Luisa Lambertini 65 0 0 18 Sep 2025
Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Keqin Wang Tao Zhong David Chang Christine Allen-Blanchette 84 0 0 17 Sep 2025
RecMind: LLM-Enhanced Graph Neural Networks for Personalized Consumer Recommendations Chang Xue Youwei Lu Chen Yang Jinming Xing 88 0 0 08 Sep 2025
Graph Unlearning: Efficient Node Removal in Graph Neural Networks Faqian Guan Tianqing Zhu Zhoutian Wang Wei Ren Wanlei Zhou MU 108 0 0 05 Sep 2025
Decoupled Entity Representation Learning for Pinterest Ads RankingACM Conference on Recommender Systems (RecSys), 2025 Jie Liu Y. Li Jiankai Sun Kungang Li Han Sun ... Zhifang Liu Haoyang Li Siping Ji Ling Leng Prathibha Deshikachar 104 0 0 04 Sep 2025
Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Lincan Li Bolin Shen Chenxi Zhao Yuxiang Sun Kaixiang Zhao Shirui Pan Yushun Dong 144 1 0 27 Aug 2025
GraphPPD: Posterior Predictive Modelling for Graph-Level Inference Soumyasundar Pal Liheng Ma Amine Natik Yingxue Zhang Mark Coates UQCV 80 0 0 23 Aug 2025
MMQ: Multimodal Mixture-of-Quantization Tokenization for Semantic ID Generation and User Behavioral Adaptation Y. Xu Moyu Zhang Chenxuan Li Zhihao Liao Haibo Xing Hao Deng Jinxin Hu Yu-Xin Zhang Xiaoyi Zeng Jing-Xuan Zhang 94 1 0 21 Aug 2025
Exact Verification of Graph Neural Networks with Incremental Constraint Solving Minghao Liu Chia-Hsuan Lu Marta Kwiatkowska AAML 105 1 0 12 Aug 2025
Privacy Preserving Inference of Personalized Content for Out of Matrix Users Michael Sun Tai Vu Andrew Wang 96 1 0 12 Aug 2025
Comprehensive Comparison Network: a framework for locality-aware, routes-comparable and interpretable route recommendation C. L. Philip Chen Longfei Xu Hanyu Guo Chengzhang Wang Ying Wang Kaikui Liu Xiangxiang Chu 92 0 0 12 Aug 2025
Graph Neural Network for Product Recommendation on the Amazon Co-purchase Graph Mengyang Cao Frank F. Yang Yi Jin Yijun Yan GNN 97 0 0 10 Aug 2025
Multi-Faceted Large Embedding Tables for Pinterest Ads Ranking Runze Su Jiayin Jin Jiacheng Li Sihan Wang Guangtong Bai ... Siping Ji Degao Peng Jinfeng Zhuang Ling Leng Prathibha Deshikachar 80 0 0 07 Aug 2025
Realizing Scaling Laws in Recommender Systems: A Foundation-Expert Paradigm for Hyperscale Model Deployment Dai Li Kevin Course W. Li Hongwei Li Jie Hua ... Jing Qian Kai Ren Matt Ma Qunshu Zhang Rui Li LRM 120 0 0 04 Aug 2025
End-to-End Personalization: Unifying Recommender Systems with Large Language Models Danial Ebrat Tina Aminian Sepideh Ahmadian Luis Rueda 112 0 0 02 Aug 2025
Beyond Interactions: Node-Level Graph Generation for Knowledge-Free Augmentation in Recommender Systems Zhaoyan Wang Hyunjun Ahn In-Young Ko 92 0 0 28 Jul 2025
NAICS-Aware Graph Neural Networks for Large-Scale POI Co-visitation Prediction: A Multi-Modal Dataset and Methodology Yazeed Alrubyli Omar Alomeir Abrar Wafa Diána Hidvégi Hend Alrasheed Mohsen Bahrami AI4TS 113 0 0 25 Jul 2025
PBiLoss: Popularity-Aware Regularization to Improve Fairness in Graph-Based Recommender Systems Mohammad Naeimi Mostafa Haghir Chehreghani 221 0 0 25 Jul 2025
ViGText: Deepfake Image Detection with Vision-Language Model Explanations and Graph Neural Networks Ahmad ALBarqawi Mahmoud Nazzal Issa M. Khalil Abdallah Khreishah Nhathai Phan 212 0 0 24 Jul 2025
Logical Characterizations of GNNs with Mean Aggregation Moritz Schönherr Carsten Lutz 107 3 0 24 Jul 2025
The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation Jinfeng Xu Zheyu Chen Shuo Yang Jinze Li Edith C.H. Ngai GNN 176 5 0 24 Jul 2025
Scaling Recommender Transformers to One Billion Parameters Kirill Khrylchenko Artem Matveev Sergei Makeev Vladimir Baikalov LRM 129 6 0 21 Jul 2025