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

Title
PinFM: Foundation Model for User Activity Sequences at a Billion-scale Visual Discovery PlatformACM Conference on Recommender Systems (RecSys), 2025 Xiangyi Chen Kousik Rajesh Matthew Lawhon Z. J. Wang Hanyu Li ... Pong Eksombatchai Jaewon Yang Yi-Ping Hsu Jiajing Xu Charles R. Rosenberg VLM 185 2 0 17 Jul 2025
Z-REx: Human-Interpretable GNN Explanations for Real Estate Recommendations Kunal Mukherjee Zachary Harrison Saeid Balaneshin 258 0 0 01 Jul 2025
Cooperative Sheaf Neural Networks André Ribeiro Ana Luiza Tenório Juan Belieni Amauri Souza Diego Mesquita GNN 216 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 225 5 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 138 1 0 15 Jun 2025
Optimizing Federated Learning using Remote Embeddings for Graph Neural Networks Pranjal Naman Yogesh Simmhan FedML AI4CE 150 0 0 14 Jun 2025
Macro Graph of Experts for Billion-Scale Multi-Task Recommendation Hongyu Yao Zijin Hong Hao Chen Zhiqing Li Zhiqing Li Zuobin Ying Zuobin Ying Huan Gong Feiran Huang 332 0 0 12 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 238 0 0 11 Jun 2025
Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems Michael Färber David Lamprecht Yuni Susanti 146 0 0 10 Jun 2025
Positional Encoding meets Persistent Homology on Graphs Yogesh Verma Amauri Souza Vikas Garg 206 1 0 06 Jun 2025
Large Language Models are Good Relational LearnersAnnual Meeting of the Association for Computational Linguistics (ACL), 2025 Fang Wu Vijay Prakash Dwivedi Jure Leskovec 242 3 0 06 Jun 2025
Combining social relations and interaction data in Recommender System with Graph Convolution Collaborative FilteringIEEE Access (IEEE Access), 2025 Tin T. Tran V. Snasel Loc Tan Nguyen 218 4 0 03 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 211 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 107 1 0 02 Jun 2025
NOCL: Node-Oriented Conceptualization LLM for Graph Tasks without Message Passing Wei Li Mengcheng Lan Jiaxing Xu Yiping Ke 168 0 0 28 May 2025
Revisiting Self-attention for Cross-domain Sequential RecommendationKnowledge Discovery and Data Mining (KDD), 2025 Clark Mingxuan Ju Leonardo Neves Bhuvesh Kumar Liam Collins Tong Zhao Yuwei Qiu Qing Dou Sohail Nizam Sen Yang Neil Shah LRM 168 5 0 27 May 2025
Aggregation Buffer: Revisiting DropEdge with a New Parameter Block Dooho Lee Myeong Kong Sagad Hamid Cheonwoo Lee Jaemin Yoo 203 1 0 27 May 2025
Convexified Message-Passing Graph Neural Networks Saar Cohen Noa Agmon Uri Shaham GNN 228 0 0 23 May 2025
Graph Data Selection for Domain Adaptation: A Model-Free Approach Ting-Wei Li Ruizhong Qiu Hanghang Tong OOD 230 4 0 22 May 2025
NeuBM: Mitigating Model Bias in Graph Neural Networks through Neutral Input CalibrationInternational Joint Conference on Artificial Intelligence (IJCAI), 2025 Jiawei Gu Ziyue Qiao Xiao Luo 394 1 0 21 May 2025
Graph Alignment for Benchmarking Graph Neural Networks and Learning Positional Encodings Adrien Lagesse Marc Lelarge 240 0 0 19 May 2025
AH-UGC: Adaptive and Heterogeneous-Universal Graph Coarsening Mohit Kataria Shreyash Bhilwade Sandeep Kumar Jayadeva 176 0 0 18 May 2025
Fast RoPE Attention: Combining the Polynomial Method and Fast Fourier Transform Josh Alman Zhao Song 328 23 0 17 May 2025
Advancing Community Detection with Graph Convolutional Neural Networks: Bridging Topological and Attributive CohesionInternational Joint Conference on Artificial Intelligence (IJCAI), 2025 Anjali de Silva Gang Chen Hui Ma Seyed Mohammad Nekooei Xingquan Zuo 254 2 0 15 May 2025
GSPRec: Temporal-Aware Graph Spectral Filtering for Recommendation Ahmad Bin Rabiah Julian McAuley AI4TS 298 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 282 4 0 14 May 2025
The Correspondence Between Bounded Graph Neural Networks and Fragments of First-Order Logic Bernardo Cuenca Grau Eva Feng Przemysław A. Wałęga AI4CE 222 2 0 12 May 2025
Prompt-Based LLMs for Position Bias-Aware Reranking in Personalized Recommendations Md Aminul Islam Ahmed Sayeed Faruk 405 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 208 0 0 02 May 2025
Graph Spectral Filtering with Chebyshev Interpolation for RecommendationAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025 Chanwoo Kim Jinkyu Sung Yebonn Han Joonseok Lee GNN 309 5 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 676 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 311 0 0 24 Apr 2025
MMHCL: Multi-Modal Hypergraph Contrastive Learning for RecommendationACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) (TOMM), 2025 Xu Guo Tong Zhang Fuyun Wang Xudong Wang Wei Wei Xin Liu Zhen Cui 277 4 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 665 3 0 22 Apr 2025
ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion Xiang Li Haobing Liu Haobing Liu Yuan Cao Guoqing Chao Zhongying Zhao Junyu Dong Yanwei Yu Yanwei Yu GNN 455 1 0 22 Apr 2025
Graph Learning at Scale: Characterizing and Optimizing Pre-Propagation GNNs Zichao Yue Chenhui Deng Zhiru Zhang AI4CE 186 0 0 17 Apr 2025
On the Practice of Deep Hierarchical Ensemble Network for Ad Conversion Rate PredictionThe Web Conference (WWW), 2025 Jinfeng Zhuang Yinrui Li Runze Su Ke Xu Zhixuan Shao ... Qifei Shen Aayush Mudgal Caleb Lu Qingbin Liu Hongda Shen 329 3 0 10 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 197 0 0 09 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 Charles Rosenberg LRM 394 8 0 09 Apr 2025
InteractRank: Personalized Web-Scale Search Pre-Ranking with Cross Interaction FeaturesThe Web Conference (WWW), 2025 Sujay Khandagale Bhawna Juneja Prabhat Agarwal Aditya Subramanian Jaewon Yang Yuting Wang 192 2 0 09 Apr 2025
Leveraging Auto-Distillation and Generative Self-Supervised Learning in Residual Graph Transformers for Enhanced Recommender SystemsInternational Conference on Computational Social Networks (ICCSN), 2025 Eya Mhedhbi Youssef Mourchid Alice Othmani 147 0 0 08 Apr 2025
Heuristic Methods are Good Teachers to Distill MLPs for Graph Link Prediction Zongyue Qin Shichang Zhang Mingxuan Ju Tong Zhao Neil Shah Tony Nowatzki 174 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 184 1 0 07 Apr 2025
Graphs are everywhere -- Psst! In Music Recommendation too Bharani Jayakumar Orkun Özoğlu 205 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 235 0 0 30 Mar 2025
Improvement Graph Convolution Collaborative Filtering with Weighted addition inputAsian Conference on Intelligent Information and Database Systems (ACIIDS), 2025 Tin T. Tran V. Snasel GNN 290 3 0 27 Mar 2025
Rankformer: A Graph Transformer for Recommendation based on Ranking ObjectiveThe Web Conference (WWW), 2025 Sirui Chen Shen Han Jiawei Chen Binbin Hu Sheng Zhou Gang Wang Yan Feng Chong Chen C. Wang OffRL 241 2 0 21 Mar 2025
ACE: A Cardinality Estimator for Set-Valued QueriesProceedings of the VLDB Endowment (PVLDB), 2025 Yufan Sheng Xin Cao Kaiqi Zhao Yixiang Fang Jianzhong Qi Wenjie Zhang Christian S. Jensen 302 0 0 19 Mar 2025
Adaptive Backdoor Attacks with Reasonable Constraints on Graph Neural NetworksIEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2025 Xuewen Dong Jiachen Li Shujun Li Zhichao You Qiang Qu Yaroslav Kholodov Yulong Shen AAML 269 1 0 12 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 D. Yin Qing Li 242 9 0 12 Mar 2025