{"total":26,"rows":[{"id":"2210.15304","title":"Explaining the Explainers in Graph Neural Networks: a Comparative Study","created":"2022-10-27","cited_by_count":35,"area":null},{"id":"2306.01958","title":"A Survey on Explainability of Graph Neural Networks","created":"2023-06-02","cited_by_count":29,"area":null},{"id":"2307.07832","title":"MixupExplainer: Generalizing Explanations for Graph Neural Networks with Data Augmentation","created":"2023-07-15","cited_by_count":18,"area":null},{"id":"2310.01820","title":"Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks","created":"2023-10-03","cited_by_count":17,"area":null},{"id":"2307.07840","title":"RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks","created":"2023-07-15","cited_by_count":9,"area":null},{"id":"2407.01979","title":"Unveiling Global Interactive Patterns across Graphs: Towards Interpretable Graph Neural Networks","created":"2024-07-02","cited_by_count":8,"area":null},{"id":"2407.15351","title":"LLMExplainer: Large Language Model based Bayesian Inference for Graph Explanation Generation","created":"2024-07-22","cited_by_count":8,"area":null},{"id":"2211.08903","title":"Cross-Mode Knowledge Adaptation for Bike Sharing Demand Prediction using Domain-Adversarial Graph Neural Networks","created":"2022-11-16","cited_by_count":7,"area":null},{"id":"2304.14094","title":"Categorical Foundations of Explainable AI: A Unifying Theory","created":"2023-04-27","cited_by_count":7,"area":null},{"id":"2305.07731","title":"Predicting COVID-19 pandemic by spatio-temporal graph neural networks: A New Zealand's study","created":"2023-05-12","cited_by_count":6,"area":null},{"id":"2406.06417","title":"Explainable Graph Neural Networks Under Fire","created":"2024-06-10","cited_by_count":5,"area":null},{"id":"2209.03171","title":"Machine Learning Partners in Criminal Networks","created":"2022-09-07","cited_by_count":4,"area":null},{"id":"2311.05764","title":"Generative Explanations for Graph Neural Network: Methods and Evaluations","created":"2023-11-09","cited_by_count":4,"area":null},{"id":"2405.12654","title":"Utilizing Description Logics for Global Explanations of Heterogeneous Graph Neural Networks","created":"2024-05-21","cited_by_count":4,"area":null},{"id":"2505.00364","title":"From GNNs to Trees: Multi-Granular Interpretability for Graph Neural Networks","created":"2025-05-01","cited_by_count":4,"area":null},{"id":"2308.06274","title":"Towards a Comprehensive Human-Centred Evaluation Framework for Explainable AI","created":"2023-07-31","cited_by_count":3,"area":null},{"id":"2402.02036","title":"Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks","created":"2024-02-03","cited_by_count":3,"area":null},{"id":"2301.00012","title":"GANExplainer: GAN-based Graph Neural Networks Explainer","created":"2022-12-30","cited_by_count":2,"area":null},{"id":"2304.13010","title":"Unstructured and structured data: Can we have the best of both worlds with large language models?","created":"2023-04-25","cited_by_count":2,"area":null},{"id":"2406.07642","title":"Generating Human Understandable Explanations for Node Embeddings","created":"2024-06-11","cited_by_count":2,"area":null},{"id":"2507.03392","title":"Absolute Evaluation Measures for Machine Learning: A Survey","created":"2025-07-04","cited_by_count":2,"area":null},{"id":"2407.00849","title":"Towards Understanding Sensitive and Decisive Patterns in Explainable AI: A Case Study of Model Interpretation in Geometric Deep Learning","created":"2024-06-30","cited_by_count":1,"area":null},{"id":"2211.02403","title":"The Path to Autonomous Learners","created":"2022-11-04","cited_by_count":0,"area":null},{"id":"2309.16918","title":"ACGAN-GNNExplainer: Auxiliary Conditional Generative Explainer for Graph Neural Networks","created":"2023-09-29","cited_by_count":0,"area":null},{"id":"2401.04133","title":"SynHING: Synthetic Heterogeneous Information Network Generation for Graph Learning and Explanation","created":"2024-01-07","cited_by_count":0,"area":null},{"id":"2606.03495","title":"HiSE: A Lightweight Hierarchical Semantic Explainer for Heterogeneous Graph Neural Networks","created":"2026-06-02","cited_by_count":0,"area":null}],"next_cursor":null}