{"total":45,"rows":[{"id":"2306.10453","title":"Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking","created":"2023-06-18","cited_by_count":69,"area":null},{"id":"2305.07961","title":"Leveraging Large Language Models in Conversational Recommender Systems","created":"2023-05-13","cited_by_count":63,"area":null},{"id":"2103.05872","title":"Sampling methods for efficient training of graph convolutional networks: A survey","created":"2021-03-10","cited_by_count":40,"area":null},{"id":"2205.11728","title":"ItemSage: Learning Product Embeddings for Shopping Recommendations at Pinterest","created":"2022-05-24","cited_by_count":23,"area":null},{"id":"2111.05897","title":"Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters","created":"2021-11-10","cited_by_count":17,"area":null},{"id":"2209.08435","title":"Rethinking Personalized Ranking at Pinterest: An End-to-End Approach","created":"2022-09-18","cited_by_count":16,"area":null},{"id":"2106.14979","title":"On component interactions in two-stage recommender systems","created":"2021-06-28","cited_by_count":14,"area":null},{"id":"2306.04039","title":"Revisiting Neural Retrieval on Accelerators","created":"2023-06-06","cited_by_count":14,"area":null},{"id":"2404.04876","title":"HiLo: Detailed and Robust 3D Clothed Human Reconstruction with High-and Low-Frequency Information of Parametric Models","created":"2024-04-07","cited_by_count":13,"area":null},{"id":"2111.11509","title":"Blockchain-based Recommender Systems: Applications, Challenges and Future Opportunities","created":"2021-11-22","cited_by_count":11,"area":null},{"id":"2205.15436","title":"Uncertainty Quantification for Fairness in Two-Stage Recommender Systems","created":"2022-05-30","cited_by_count":10,"area":null},{"id":"2102.07945","title":"Local Hyper-Flow Diffusion","created":"2021-02-16","cited_by_count":8,"area":null},{"id":"2104.10569","title":"GraphTheta: A Distributed Graph Neural Network Learning System With Flexible Training Strategy","created":"2021-04-21","cited_by_count":8,"area":null},{"id":"2205.10666","title":"MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest","created":"2022-05-21","cited_by_count":6,"area":null},{"id":"2203.12596","title":"ZOOMER: Boosting Retrieval on Web-scale Graphs by Regions of Interest","created":"2022-03-20","cited_by_count":4,"area":null},{"id":"2402.08593","title":"Graph Feature Preprocessor: Real-time Subgraph-based Feature Extraction for Financial Crime Detection","created":"2024-02-13","cited_by_count":4,"area":null},{"id":"2206.00057","title":"Distributed Graph Neural Network Training with Periodic Stale Representation Synchronization","created":"2022-05-31","cited_by_count":3,"area":null},{"id":"2407.15462","title":"Retrieval with Learned Similarities","created":"2024-07-22","cited_by_count":3,"area":null},{"id":"2206.12291","title":"A Design of A Simple Yet Effective Exercise Recommendation System in K-12 Online Learning","created":"2022-06-23","cited_by_count":2,"area":null},{"id":"2310.08031","title":"Local Graph Clustering with Noisy Labels","created":"2023-10-12","cited_by_count":2,"area":null},{"id":"2505.16563","title":"A Two-Stage Data Selection Framework for Data-Efficient Model Training on Edge Devices","created":"2025-05-22","cited_by_count":2,"area":null},{"id":"2601.01712","title":"RelayGR: Scaling Long-Sequence Generative Recommendation via Cross-Stage Relay-Race Inference","created":"2026-01-05","cited_by_count":2,"area":null},{"id":"2112.14769","title":"Frame invariance and scalability of neural operators for partial differential equations","created":"2021-12-28","cited_by_count":1,"area":null},{"id":"2201.09189","title":"Hardware/Software Co-Programmable Framework for Computational SSDs to Accelerate Deep Learning Service on Large-Scale Graphs","created":"2022-01-23","cited_by_count":1,"area":null},{"id":"2209.08433","title":"Evolution of a Web-Scale Near Duplicate Image Detection System","created":"2022-09-18","cited_by_count":1,"area":null},{"id":"2306.11487","title":"Efficient Large-scale Nonstationary Spatial Covariance Function Estimation Using Convolutional Neural Networks","created":"2023-06-20","cited_by_count":1,"area":null},{"id":"2310.08891","title":"EHI: End-to-end Learning of Hierarchical Index for Efficient Dense Retrieval","created":"2023-10-13","cited_by_count":1,"area":null},{"id":"2504.04188","title":"Towards Principled Learning for Re-ranking in Recommender Systems","created":"2025-04-05","cited_by_count":1,"area":null},{"id":"2508.14905","title":"Privacy Preserving Inference of Personalized Content for Out of Matrix Users","created":"2025-08-12","cited_by_count":1,"area":null},{"id":"2512.12295","title":"Near-Zero-Overhead Freshness for Recommendation Systems via Inference-Side Model Updates","created":"2025-12-13","cited_by_count":1,"area":null},{"id":"2607.22518","title":"PinEqualizer: Full Funnel Content Exploration and Debiasing System at Pinterest","created":"2026-07-24","cited_by_count":1,"area":null},{"id":"2105.05733","title":"Thematic recommendations on knowledge graphs using multilayer networks","created":"2021-05-12","cited_by_count":0,"area":null},{"id":"2208.09027","title":"GraTO: Graph Neural Network Framework Tackling Over-smoothing with Neural Architecture Search","created":"2022-08-18","cited_by_count":0,"area":null},{"id":"2302.14096","title":"A Dataset for Learning Graph Representations to Predict Customer Returns in Fashion Retail","created":"2023-02-27","cited_by_count":0,"area":null},{"id":"2303.02405","title":"Decision Support System for Chronic Diseases Based on Drug-Drug Interactions","created":"2023-03-04","cited_by_count":0,"area":null},{"id":"2305.18632","title":"Graph Rewriting for Graph Neural Networks","created":"2023-05-29","cited_by_count":0,"area":null},{"id":"2403.00802","title":"Towards a Theoretical Understanding of Two Tower Recommendation Models","created":"2024-02-23","cited_by_count":0,"area":null},{"id":"2410.04552","title":"Modeling Social Media Recommendation Impacts Using Academic Networks: A Graph Neural Network Approach","created":"2024-10-06","cited_by_count":0,"area":null},{"id":"2502.11490","title":"GPU-accelerated Multi-relational Parallel Graph Retrieval for Web-scale Recommendations","created":"2025-02-17","cited_by_count":0,"area":null},{"id":"2502.20497","title":"Creator-Side Recommender System: Challenges, Designs, and Applications","created":"2025-02-25","cited_by_count":0,"area":null},{"id":"2511.10501","title":"Graph Neural Networks, Deep Reinforcement Learning and Probabilistic Topic Modeling for Strategic Multiagent Settings","created":"2025-11-13","cited_by_count":0,"area":null},{"id":"2605.11029","title":"FragBench: Cross-Session Attacks Hidden in Benign-Looking Fragments","created":"2026-05-10","cited_by_count":0,"area":null},{"id":"2608.24079","title":"Keeping the Index Open: The Recommendation-Side Cost of Shared Search and Recommendation","created":"2026-08-25","cited_by_count":0,"area":null},{"id":"2609.05748","title":"A Multi-Source Ensemble Approach to Candidate Generation for Alternative Vacation Rental Property Recommendations","created":"2026-09-04","cited_by_count":0,"area":null},{"id":"2610.17867","title":"RT-J: Large-Scale Pretraining of Relational Transformers for Context-Efficient Predictions","created":"2026-10-13","cited_by_count":0,"area":null}],"next_cursor":null}