{"total":31,"rows":[{"id":"2101.11859","title":"Interpreting and Unifying Graph Neural Networks with An Optimization Framework","created":"2021-01-28","cited_by_count":131,"area":null},{"id":"2306.04979","title":"CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification","created":"2023-06-08","cited_by_count":46,"area":null},{"id":"2102.09267","title":"Sparse-Interest Network for Sequential Recommendation","created":"2021-02-18","cited_by_count":38,"area":null},{"id":"2310.03916","title":"Toward a Foundation Model for Time Series Data","created":"2023-10-05","cited_by_count":28,"area":null},{"id":"2212.12488","title":"Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection","created":"2022-12-23","cited_by_count":26,"area":null},{"id":"2106.03693","title":"Learning by Transference: Training Graph Neural Networks on Growing Graphs","created":"2021-06-07","cited_by_count":22,"area":null},{"id":"2206.10848","title":"DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation","created":"2022-06-22","cited_by_count":19,"area":null},{"id":"2101.11552","title":"Efficient Graph Deep Learning in TensorFlow with tf_geometric","created":"2021-01-27","cited_by_count":17,"area":null},{"id":"2102.09269","title":"Dynamic Memory based Attention Network for Sequential Recommendation","created":"2021-02-18","cited_by_count":16,"area":null},{"id":"2107.03019","title":"SelfCF: A Simple Framework for Self-supervised Collaborative Filtering","created":"2021-07-07","cited_by_count":15,"area":null},{"id":"2105.14280","title":"Hashing-Accelerated Graph Neural Networks for Link Prediction","created":"2021-05-29","cited_by_count":14,"area":null},{"id":"2209.06560","title":"Graph Contrastive Learning with Personalized Augmentation","created":"2022-09-14","cited_by_count":14,"area":null},{"id":"2402.06330","title":"Continual Learning on Graphs: A Survey","created":"2024-02-09","cited_by_count":12,"area":null},{"id":"2208.05648","title":"Embedding Compression with Hashing for Efficient Representation Learning in Large-Scale Graph","created":"2022-08-11","cited_by_count":10,"area":null},{"id":"2302.01478","title":"Clustered Embedding Learning for Recommender Systems","created":"2023-02-03","cited_by_count":8,"area":null},{"id":"2307.11981","title":"Collaborative Graph Neural Networks for Attributed Network Embedding","created":"2023-07-22","cited_by_count":8,"area":null},{"id":"2106.03415","title":"Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation","created":"2021-06-07","cited_by_count":7,"area":null},{"id":"2408.07985","title":"Analytical Uncertainty-Based Loss Weighting in Multi-Task Learning","created":"2024-08-15","cited_by_count":6,"area":null},{"id":"2210.15567","title":"Training Graph Neural Networks on Growing Stochastic Graphs","created":"2022-10-27","cited_by_count":5,"area":null},{"id":"2305.01868","title":"Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models","created":"2023-05-03","cited_by_count":5,"area":null},{"id":"2506.19993","title":"CoVE: Compressed Vocabulary Expansion Makes Better LLM-based Recommender Systems","created":"2025-06-24","cited_by_count":3,"area":null},{"id":"2309.01808","title":"DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research","created":"2023-09-04","cited_by_count":2,"area":null},{"id":"2206.07253","title":"TeKo: Text-Rich Graph Neural Networks with External Knowledge","created":"2022-06-15","cited_by_count":1,"area":null},{"id":"2312.14129","title":"WellFactor: Patient Profiling using Integrative Embedding of Healthcare Data","created":"2023-12-21","cited_by_count":1,"area":null},{"id":"2112.01110","title":"Contrastive Adaptive Propagation Graph Neural Networks for Efficient Graph Learning","created":"2021-12-02","cited_by_count":0,"area":null},{"id":"2204.08569","title":"Learning Similarity Preserving Binary Codes for Recommender Systems","created":"2022-04-18","cited_by_count":0,"area":null},{"id":"2308.11748","title":"Patient Clustering via Integrated Profiling of Clinical and Digital Data","created":"2023-08-22","cited_by_count":0,"area":null},{"id":"2401.03790","title":"Inferring Properties of Graph Neural Networks","created":"2024-01-08","cited_by_count":0,"area":null},{"id":"2405.18068","title":"A Survey of Latent Factor Models in Recommender Systems","created":"2024-05-28","cited_by_count":0,"area":null},{"id":"2410.19723","title":"Sparse Decomposition of Graph Neural Networks","created":"2024-10-25","cited_by_count":0,"area":null},{"id":"2505.13907","title":"Cross-Domain Diffusion with Progressive Alignment for Efficient Adaptive Retrieval","created":"2025-05-20","cited_by_count":0,"area":null}],"next_cursor":null}