{"total":13,"rows":[{"id":"2305.14535","title":"Uncertainty Quantification over Graph with Conformalized Graph Neural Networks","created":"2023-05-23","cited_by_count":79,"area":null},{"id":"2403.07185","title":"Uncertainty in Graph Neural Networks: A Survey","created":"2024-03-11","cited_by_count":23,"area":null},{"id":"2407.04407","title":"Trustworthy Classification through Rank-Based Conformal Prediction Sets","created":"2024-07-05","cited_by_count":20,"area":null},{"id":"2306.14693","title":"Conformal link prediction for false discovery rate control","created":"2023-06-26","cited_by_count":9,"area":null},{"id":"2312.16160","title":"SymmPI: Predictive Inference for Data with Group Symmetries","created":"2023-12-26","cited_by_count":8,"area":null},{"id":"2501.02767","title":"Enhancing Trustworthiness of Graph Neural Networks with Rank-Based Conformal Training","created":"2025-01-06","cited_by_count":6,"area":null},{"id":"2503.02205","title":"Volume-Sorted Prediction Set: Efficient Conformal Prediction for Multi-Target Regression","created":"2025-03-04","cited_by_count":6,"area":null},{"id":"2304.06158","title":"Post-selection Inference for Conformal Prediction: Trading off Coverage for Precision","created":"2023-04-12","cited_by_count":5,"area":null},{"id":"2404.14642","title":"Uncertainty Quantification on Graph Learning: A Survey","created":"2024-04-23","cited_by_count":4,"area":null},{"id":"2306.07252","title":"On the Validity of Conformal Prediction for Network Data Under Non-Uniform Sampling","created":"2023-06-12","cited_by_count":3,"area":null},{"id":"2503.04981","title":"Topology-Aware Conformal Prediction for Stream Networks","created":"2025-03-06","cited_by_count":3,"area":null},{"id":"2603.02460","title":"Conformal Graph Prediction with Z-Gromov-Wasserstein Distances","created":"2026-03-02","cited_by_count":2,"area":null},{"id":"2605.08074","title":"GRAPHLCP: Structure-Aware Localized Conformal Prediction on Graphs","created":"2026-05-08","cited_by_count":0,"area":null}],"next_cursor":null}