{"total":19,"rows":[{"id":"2108.06625","title":"Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer","created":"2021-08-14","cited_by_count":69,"area":null},{"id":"2108.06479","title":"Contrastive Self-supervised Sequential Recommendation with Robust Augmentation","created":"2021-08-14","cited_by_count":56,"area":null},{"id":"2201.06035","title":"Sequential Recommendation via Stochastic Self-Attention","created":"2022-01-16","cited_by_count":37,"area":null},{"id":"2108.11883","title":"DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN","created":"2021-08-26","cited_by_count":19,"area":null},{"id":"2209.00456","title":"ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation","created":"2022-08-27","cited_by_count":19,"area":null},{"id":"2304.08382","title":"MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation","created":"2023-04-17","cited_by_count":18,"area":null},{"id":"2501.17630","title":"Uncertainty Quantification and Decomposition for LLM-based Recommendation","created":"2025-01-29","cited_by_count":12,"area":null},{"id":"2209.11679","title":"Rethinking Missing Data: Aleatoric Uncertainty-Aware Recommendation","created":"2022-09-22","cited_by_count":6,"area":null},{"id":"2506.06341","title":"NR4DER: Neural Re-ranking for Diversified Exercise Recommendation","created":"2025-06-01","cited_by_count":5,"area":null},{"id":"2210.13572","title":"Sequential Recommendation with Auxiliary Item Relationships via Multi-Relational Transformer","created":"2022-10-24","cited_by_count":3,"area":null},{"id":"2301.01737","title":"Episodes Discovery Recommendation with Multi-Source Augmentations","created":"2023-01-04","cited_by_count":3,"area":null},{"id":"2301.12197","title":"Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation","created":"2023-01-28","cited_by_count":3,"area":null},{"id":"2306.11986","title":"Sequential Recommendation with Controllable Diversification: Representation Degeneration and Diversity","created":"2023-06-21","cited_by_count":1,"area":null},{"id":"2506.19777","title":"Alleviating User-Sensitive bias with Fair Generative Sequential Recommendation Model","created":"2025-06-24","cited_by_count":1,"area":null},{"id":"2306.14314","title":"G-STO: Sequential Main Shopping Intention Detection via Graph-Regularized Stochastic Transformer","created":"2023-06-25","cited_by_count":0,"area":null},{"id":"2409.17402","title":"Enhancing Recommendation with Denoising Auxiliary Task","created":"2024-09-25","cited_by_count":0,"area":null},{"id":"2506.05625","title":"Heterogeneous Sequel-Aware Graph Neural Networks for Sequential Learning","created":"2025-06-05","cited_by_count":0,"area":null},{"id":"2509.24424","title":"Multi-Item-Query Attention for Stable Sequential Recommendation","created":"2025-09-29","cited_by_count":0,"area":null},{"id":"2607.09666","title":"Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey","created":"2026-05-12","cited_by_count":0,"area":null}],"next_cursor":null}