{"total":22,"rows":[{"id":"2408.00295","title":"Contrastive Graph Representation Learning with Adversarial Cross-view Reconstruction and Information Bottleneck","created":"2024-08-01","cited_by_count":21,"area":null},{"id":"2501.15638","title":"A Comprehensive Survey on Self-Interpretable Neural Networks","created":"2025-01-26","cited_by_count":18,"area":null},{"id":"2510.16824","title":"ProtoMol: Enhancing Molecular Property Prediction via Prototype-Guided Multimodal Learning","created":"2025-10-19","cited_by_count":11,"area":null},{"id":"2502.10706","title":"Raising the Bar in Graph OOD Generalization: Invariant Learning Beyond Explicit Environment Modeling","created":"2025-02-15","cited_by_count":9,"area":null},{"id":"2408.08754","title":"Self-Explainable Graph Transformer for Link Sign Prediction","created":"2024-08-16","cited_by_count":8,"area":null},{"id":"2412.00521","title":"A Self-Explainable Heterogeneous GNN for Relational Deep Learning","created":"2024-11-30","cited_by_count":7,"area":null},{"id":"2510.00080","title":"SoREX: Towards Self-Explainable Social Recommendation with Relevant Ego-Path Extraction","created":"2025-09-30","cited_by_count":5,"area":null},{"id":"2408.07340","title":"Towards Few-shot Self-explaining Graph Neural Networks","created":"2024-08-14","cited_by_count":4,"area":null},{"id":"2602.21046","title":"PIME: Prototype-based Interpretable MCTS-Enhanced Brain Network Analysis for Disorder Diagnosis","created":"2026-02-24","cited_by_count":2,"area":null},{"id":"2508.11513","title":"Towards Faithful Class-level Self-explainability in Graph Neural Networks by Subgraph Dependencies","created":"2025-08-15","cited_by_count":1,"area":null},{"id":"2510.11745","title":"Think as a Doctor: An Interpretable AI Approach for ICU Mortality Prediction","created":"2025-10-11","cited_by_count":1,"area":null},{"id":"2602.21508","title":"WaterVIB: Learning Minimal Sufficient Watermark Representations via Variational Information Bottleneck","created":"2026-02-25","cited_by_count":1,"area":null},{"id":"2402.04710","title":"Incorporating Retrieval-based Causal Learning with Information Bottlenecks for Interpretable Graph Neural Networks","created":"2024-02-07","cited_by_count":0,"area":null},{"id":"2409.10996","title":"GINTRIP: Interpretable Temporal Graph Regression using Information bottleneck and Prototype-based method","created":"2024-09-17","cited_by_count":0,"area":null},{"id":"2503.06052","title":"Interpretable High-order Knowledge Graph Neural Network for Predicting Synthetic Lethality in Human Cancers","created":"2025-03-08","cited_by_count":0,"area":null},{"id":"2503.12978","title":"Enhancing Job Salary Prediction with Disentangled Composition Effect Modeling: A Neural Prototyping Approach","created":"2025-03-17","cited_by_count":0,"area":null},{"id":"2505.07635","title":"Interpreting Graph Inference with Skyline Explanations","created":"2025-05-12","cited_by_count":0,"area":null},{"id":"2604.11986","title":"Exploring Concept Subspace for Self-explainable Text-Attributed Graph Learning","created":"2026-04-13","cited_by_count":0,"area":null},{"id":"2605.07527","title":"Why Self-Inconsistency Arises in GNN Explanations and How to Exploit It","created":"2026-05-08","cited_by_count":0,"area":null},{"id":"2605.19822","title":"ST-TGExplainer: Disentangling Stability and Transition Patterns for Temporal GNN Interpretability","created":"2026-05-19","cited_by_count":0,"area":null},{"id":"2609.33342","title":"CalibHyper: Chance-Corrected Relational Hypergraphs for Few-Shot Molecular Property Prediction","created":"2026-09-27","cited_by_count":0,"area":null},{"id":"2610.00713","title":"WOMBAT: Whitebox Oracle for Molecular Benchmarking and Attribution Testing","created":"2026-09-30","cited_by_count":0,"area":null}],"next_cursor":null}