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
Z-REx: Human-Interpretable GNN Explanations for Real Estate Recommendations Kunal Mukherjee Zachary Harrison Saeid Balaneshin 39 0 0 01 Jul 2025
Relational Deep Learning: Challenges, Foundations and Next-Generation Architectures Vijay Prakash Dwivedi Charilaos I. Kanatsoulis Shenyang Huang Jure Leskovec GNN 3DV 32 0 0 19 Jun 2025
Large Scalable Cross-Domain Graph Neural Networks for Personalized Notification at LinkedIn Shihai He Julie Choi Tianqi Li Zhiwei Ding Peng Du ... Franco Liang Fedor Borisyuk Padmini Jaikumar Xiaobing Xue Viral Gupta GNN 7 0 0 15 Jun 2025
Devil's Hand: Data Poisoning Attacks to Locally Private Graph Learning Protocols Longzhu He Chaozhuo Li Peng Tang Litian Zhang Sen Su Philip S. Yu AAML 54 0 0 11 Jun 2025
Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems Michael Färber David Lamprecht Yuni Susanti 17 0 0 10 Jun 2025
Positional Encoding meets Persistent Homology on Graphs Yogesh Verma Amauri Souza Vikas Garg 44 0 0 06 Jun 2025
Large Language Models are Good Relational Learners Fang Wu Vijay Prakash Dwivedi Jure Leskovec 33 0 0 06 Jun 2025
Learning Binarized Representations with Pseudo-positive Sample Enhancement for Efficient Graph Collaborative Filtering Yankai Chen Yue Que Xinni Zhang Chen Ma Irwin King 62 0 0 03 Jun 2025
Combining social relations and interaction data in Recommender System with Graph Convolution Collaborative Filtering Tin T. Tran V. Snasel Loc Tan Nguyen 90 2 0 03 Jun 2025
TransAct V2: Lifelong User Action Sequence Modeling on Pinterest Recommendation Xue Xia Saurabh Vishwas Joshi Kousik Rajesh Kangnan Li Yangyi Lu Nikil Pancha Dhruvil Badani Jiajing Xu Pong Eksombatchai 25 0 0 02 Jun 2025
NOCL: Node-Oriented Conceptualization LLM for Graph Tasks without Message Passing Wei Li Mengcheng Lan Jiaxing Xu Yiping Ke 17 0 0 28 May 2025
Aggregation Buffer: Revisiting DropEdge with a New Parameter Block Dooho Lee Myeong Kong Sagad Hamid Cheonwoo Lee Jaemin Yoo 42 0 0 27 May 2025
Revisiting Self-attention for Cross-domain Sequential Recommendation Clark Mingxuan Ju Leonardo Neves Bhuvesh Kumar Liam Collins Tong Zhao Yuwei Qiu Qing Dou Sohail Nizam Sen Yang Neil Shah LRM 31 1 0 27 May 2025
Convexified Message-Passing Graph Neural Networks Saar Cohen Noa Agmon Uri Shaham GNN 38 0 0 23 May 2025
Model-Free Graph Data Selection under Distribution Shift Ting-Wei Li Ruizhong Qiu Hanghang Tong OOD 44 0 0 22 May 2025
NeuBM: Mitigating Model Bias in Graph Neural Networks through Neutral Input Calibration Jiawei Gu Ziyue Qiao Xiao Luo 220 0 0 21 May 2025
Graph Alignment for Benchmarking Graph Neural Networks and Learning Positional Encodings Adrien Lagesse Marc Lelarge 74 0 0 19 May 2025
AH-UGC: Adaptive and Heterogeneous-Universal Graph Coarsening Mohit Kataria Shreyash Bhilwade Sandeep Kumar Jayadeva 66 0 0 18 May 2025
Fast RoPE Attention: Combining the Polynomial Method and Fast Fourier Transform Josh Alman Zhao Song 103 16 0 17 May 2025
GSPRec: Temporal-Aware Graph Spectral Filtering for Recommendation Ahmad Bin Rabiah Julian McAuley AI4TS 97 0 0 15 May 2025
Advancing Community Detection with Graph Convolutional Neural Networks: Bridging Topological and Attributive Cohesion Anjali de Silva Gang Chen Hui Ma Seyed Mohammad Nekooei Xingquan Zuo 84 0 0 15 May 2025
Enabling Group Fairness in Graph Unlearning via Bi-level Debiasing Yezi Liu Prathyush Poduval Wenjun Huang Yang Ni Hanning Chen Mohsen Imani MU 68 0 0 14 May 2025
The Correspondence Between Bounded Graph Neural Networks and Fragments of First-Order Logic Bernardo Cuenca Grau Przemysław A. Wałęga AI4CE 49 0 0 12 May 2025
Prompt-Based LLMs for Position Bias-Aware Reranking in Personalized Recommendations Md Aminul Islam Ahmed Sayeed Faruk 144 0 0 08 May 2025
Scalability Matters: Overcoming Challenges in InstructGLM with Similarity-Degree-Based Sampling Hyun Lee Chris Yi Maminur Islam B.D.S. Aritra 72 0 0 02 May 2025
Graph Spectral Filtering with Chebyshev Interpolation for Recommendation Chanwoo Kim Jinkyu Sung Yebonn Han Joonseok Lee GNN 97 0 0 01 May 2025
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Zihan Chen Xingbo Fu Yushun Dong Jundong Li Cong Shen FedML 290 0 0 29 Apr 2025
PTCL: Pseudo-Label Temporal Curriculum Learning for Label-Limited Dynamic Graph Shengtao Zhang Haokai Zhang Shiqi Lou Zicheng Wang Zinan Zeng Yilin Wang Minnan Luo 155 0 0 24 Apr 2025
MMHCL: Multi-Modal Hypergraph Contrastive Learning for Recommendation Xu Guo Tong Zhang Fuyun Wang Xudong Wang Wei Wei Xin Liu Zhen Cui 84 0 0 23 Apr 2025
OmniSage: Large Scale, Multi-Entity Heterogeneous Graph Representation Learning Anirudhan Badrinath Alex Yang Kousik Rajesh Prabhat Agarwal Jaewon Yang Haoyu Chen Jiajing Xu Charles R. Rosenberg AI4TS 167 1 0 22 Apr 2025
ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion Xiang Li Haobing Liu Jianpeng Qi Yuan Cao Guoqing Chao Yanwei Yu Junyu Dong Yanwei Yu GNN 106 0 0 22 Apr 2025
Graph Learning at Scale: Characterizing and Optimizing Pre-Propagation GNNs Zichao Yue Chenhui Deng Zhiru Zhang AI4CE 75 0 0 17 Apr 2025
On the Practice of Deep Hierarchical Ensemble Network for Ad Conversion Rate Prediction Jinfeng Zhuang Yinrui Li Runze Su Ke Xu Zhixuan Shao ... Qifei Shen Aayush Mudgal Caleb Lu Qingbin Liu Hongda Shen 127 0 0 10 Apr 2025
PinRec: Outcome-Conditioned, Multi-Token Generative Retrieval for Industry-Scale Recommendation Systems Anirudhan Badrinath Prabhat Agarwal Laksh Bhasin Jaewon Yang Jiajing Xu Charles R. Rosenberg LRM 122 1 0 09 Apr 2025
FLASH: Flexible Learning of Adaptive Sampling from History in Temporal Graph Neural Networks Or Feldman Krishna Sri Ipsit Mantri Carola-Bibiane Schönlieb Chaim Baskin Moshe Eliasof AI4TS 47 0 0 09 Apr 2025
InteractRank: Personalized Web-Scale Search Pre-Ranking with Cross Interaction Features Sujay Khandagale Bhawna Juneja Prabhat Agarwal Aditya Subramanian Jaewon Yang Yuting Wang 80 0 0 09 Apr 2025
Heuristic Methods are Good Teachers to Distill MLPs for Graph Link Prediction Zongyue Qin Shichang Zhang Mingxuan Ju Tong Zhao Neil Shah Yizhou Sun 52 0 0 08 Apr 2025
Leveraging Auto-Distillation and Generative Self-Supervised Learning in Residual Graph Transformers for Enhanced Recommender Systems Eya Mhedhbi Youssef Mourchid Alice Othmani 52 0 0 08 Apr 2025
Can LLM-Driven Hard Negative Sampling Empower Collaborative Filtering? Findings and Potentials Chu Zhao Enneng Yang Yuting Liu Jianzhe Zhao G. Guo Xingwei Wang 76 0 0 07 Apr 2025
Graphs are everywhere -- Psst! In Music Recommendation too Bharani Jayakumar Orkun Özoğlu 59 0 0 03 Apr 2025
Graph-Structured Driven Dual Adaptation for Mitigating Popularity Bias Miaomiao Cai Lei Chen Yifan Wang Zhiyong Cheng Min Zhang Meng Wang 87 0 0 30 Mar 2025
Improvement Graph Convolution Collaborative Filtering with Weighted addition input Tin T. Tran V. Snasel GNN 159 3 0 27 Mar 2025
Rankformer: A Graph Transformer for Recommendation based on Ranking Objective Sirui Chen Shen Han Jiawei Chen Binbin Hu Sheng Zhou Gang Wang Yan Feng Chong Chen C. Wang OffRL 86 0 0 21 Mar 2025
ACE: A Cardinality Estimator for Set-Valued Queries Yufan Sheng Xin Cao Kaiqi Zhao Yixiang Fang Jianzhong Qi Wenjie Zhang Christian S. Jensen 92 0 0 19 Mar 2025
Towards Next-Generation Recommender Systems: A Benchmark for Personalized Recommendation Assistant with LLMs J. Huang Shijie Wang Liang-bo Ning Wenqi Fan Shuaiqiang Wang Dawei Yin Qing Li 122 2 0 12 Mar 2025
Adaptive Backdoor Attacks with Reasonable Constraints on Graph Neural Networks Xuewen Dong Jiachen Li Shujun Li Zhichao You Qiang Qu Yaroslav Kholodov Yulong Shen AAML 135 1 0 12 Mar 2025
RouterEval: A Comprehensive Benchmark for Routing LLMs to Explore Model-level Scaling Up in LLMs Zhongzhan Huang Guoming Ling Vincent S. Liang Yupei Lin Yandong Chen Shanshan Zhong Hefeng Wu LRM 206 7 0 08 Mar 2025
Hierarchical graph sampling based minibatch learning with chain preservation and variance reduction Qia Hu Bo Jiao 57 0 0 02 Mar 2025
WaveGAS: Waveform Relaxation for Scaling Graph Neural Networks Jana Vatter Mykhaylo Zayats Marcos Martínez Galindo V. López R. Mayer Hans-Arno Jacobsen Hoang Thanh Lam GNN 84 0 0 27 Feb 2025
Towards Responsible AI in Education: Hybrid Recommendation System for K-12 Students Case Study Nazarii Drushchak Vladyslava Tyshchenko Nataliya Polyakovska 94 0 0 27 Feb 2025