{"total":22,"rows":[{"id":"2110.04038","title":"Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network","created":"2021-10-08","cited_by_count":52,"area":null},{"id":"2104.07545","title":"Hierarchical Learning for Generation with Long Source Sequences","created":"2021-04-15","cited_by_count":32,"area":null},{"id":"2201.02435","title":"Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning","created":"2022-01-07","cited_by_count":32,"area":null},{"id":"2401.16549","title":"Deep Learning for Multi-Label Learning: A Comprehensive Survey","created":"2024-01-29","cited_by_count":19,"area":null},{"id":"2112.00976","title":"Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification","created":"2021-12-02","cited_by_count":15,"area":null},{"id":"2411.17350","title":"Correlation-Aware Graph Convolutional Networks for Multi-Label Node Classification","created":"2024-11-26","cited_by_count":11,"area":null},{"id":"2102.08427","title":"Evaluating Multi-label Classifiers with Noisy Labels","created":"2021-02-16","cited_by_count":10,"area":null},{"id":"2103.06375","title":"HOT-VAE: Learning High-Order Label Correlation for Multi-Label Classification via Attention-Based Variational Autoencoders","created":"2021-03-09","cited_by_count":9,"area":null},{"id":"2106.02225","title":"Materials Representation and Transfer Learning for Multi-Property Prediction","created":"2021-06-04","cited_by_count":7,"area":null},{"id":"2302.09683","title":"SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification","created":"2023-02-19","cited_by_count":7,"area":null},{"id":"2306.00390","title":"Learning Gaussian Mixture Representations for Tensor Time Series Forecasting","created":"2023-06-01","cited_by_count":6,"area":null},{"id":"2305.05882","title":"Deep Partial Multi-Label Learning with Graph Disambiguation","created":"2023-05-10","cited_by_count":5,"area":null},{"id":"2403.18192","title":"Multi-Label Adaptive Batch Selection by Highlighting Hard and Imbalanced Samples","created":"2024-03-27","cited_by_count":5,"area":null},{"id":"2202.04844","title":"Multi-relation Message Passing for Multi-label Text Classification","created":"2022-02-10","cited_by_count":3,"area":null},{"id":"2108.02032","title":"Multi-Label Gold Asymmetric Loss Correction with Single-Label Regulators","created":"2021-08-04","cited_by_count":1,"area":null},{"id":"2110.01794","title":"Multi-axis Attentive Prediction for Sparse EventData: An Application to Crime Prediction","created":"2021-10-05","cited_by_count":1,"area":null},{"id":"2501.19145","title":"Improving Multi-Label Contrastive Learning by Leveraging Label Distribution","created":"2025-01-31","cited_by_count":1,"area":null},{"id":"2302.10430","title":"Interval Type-2 Fuzzy Neural Networks for Multi-Label Classification","created":"2023-02-21","cited_by_count":0,"area":null},{"id":"2402.00324","title":"A Consistent Lebesgue Measure for Multi-label Learning","created":"2024-02-01","cited_by_count":0,"area":null},{"id":"2603.21056","title":"Semi-Supervised Learning with Balanced Deep Representation Distributions","created":"2026-03-22","cited_by_count":0,"area":null},{"id":"2606.08484","title":"STELLAR: Spatio-Temporal Environmental Learning with Latent Alignment and Refinement for Long-Tailed Species Distribution Modeling","created":"2026-06-07","cited_by_count":0,"area":null},{"id":"2609.32276","title":"HyperLabel: Multi-Label Classification via Hypergraph-Based Label Correlation Modeling","created":"2026-09-26","cited_by_count":0,"area":null}],"next_cursor":null}