{"total":25,"rows":[{"id":"2212.11870","title":"Impossibility Theorems for Feature Attribution","created":"2022-12-22","cited_by_count":78,"area":null},{"id":"2111.15521","title":"Node-Level Differentially Private Graph Neural Networks","created":"2021-11-23","cited_by_count":43,"area":null},{"id":"2109.08907","title":"Releasing Graph Neural Networks with Differential Privacy Guarantees","created":"2021-09-18","cited_by_count":32,"area":null},{"id":"2210.16966","title":"Interpretable Geometric Deep Learning via Learnable Randomness Injection","created":"2022-10-30","cited_by_count":27,"area":null},{"id":"2107.04119","title":"Quantitative Evaluation of Explainable Graph Neural Networks for Molecular Property Prediction","created":"2021-07-01","cited_by_count":15,"area":null},{"id":"2406.07955","title":"How Interpretable Are Interpretable Graph Neural Networks?","created":"2024-06-12","cited_by_count":13,"area":null},{"id":"2501.16944","title":"Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks","created":"2025-01-28","cited_by_count":13,"area":null},{"id":"2211.00631","title":"Composite Feature Selection using Deep Ensembles","created":"2022-11-01","cited_by_count":11,"area":null},{"id":"2103.12983","title":"Counterfactual Explanation with Multi-Agent Reinforcement Learning for Drug Target Prediction","created":"2021-03-24","cited_by_count":8,"area":null},{"id":"2211.13236","title":"MEGAN: Multi-Explanation Graph Attention Network","created":"2022-11-23","cited_by_count":7,"area":null},{"id":"2408.17198","title":"Towards Symbolic XAI -- Explanation Through Human Understandable Logical Relationships Between Features","created":"2024-08-30","cited_by_count":7,"area":null},{"id":"2210.17159","title":"PAGE: Prototype-Based Model-Level Explanations for Graph Neural Networks","created":"2022-10-31","cited_by_count":5,"area":null},{"id":"2502.16697","title":"Interpretable Retinal Disease Prediction Using Biology-Informed Heterogeneous Graph Representations","created":"2025-02-23","cited_by_count":4,"area":null},{"id":"2505.22252","title":"B-XAIC Dataset: Benchmarking Explainable AI for Graph Neural Networks Using Chemical Data","created":"2025-05-28","cited_by_count":4,"area":null},{"id":"2310.02964","title":"Co-modeling the Sequential and Graphical Routes for Peptide Representation Learning","created":"2023-10-04","cited_by_count":3,"area":null},{"id":"2203.16205","title":"Automatic Identification of Chemical Moieties","created":"2022-03-30","cited_by_count":2,"area":null},{"id":"2406.11882","title":"Applications of Explainable artificial intelligence in Earth system science","created":"2024-06-12","cited_by_count":1,"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":"2409.09111","title":"Transformers from Diffusion: A Unified Framework for Neural Message Passing","created":"2024-09-13","cited_by_count":1,"area":null},{"id":"2507.03318","title":"Structure-Aware Compound-Protein Affinity Prediction via Graph Neural Networks with Group Lasso Regularization","created":"2025-07-04","cited_by_count":1,"area":null},{"id":"2103.02565","title":"GLAMOUR: Graph Learning over Macromolecule Representations","created":"2021-03-03","cited_by_count":0,"area":null},{"id":"2204.06348","title":"Meaningful machine learning models and machine-learned pharmacophores from fragment screening campaigns","created":"2022-03-25","cited_by_count":0,"area":null},{"id":"2405.13846","title":"Regression Trees Know Calculus","created":"2024-05-22","cited_by_count":0,"area":null},{"id":"2604.16550","title":"An Interpretable Framework Applying Protein Words to Predict Protein-Small Molecule Complementary Pairing Rules","created":"2026-04-17","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}