{"total":72,"rows":[{"id":"2310.13132","title":"Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queries","created":"2023-10-19","cited_by_count":82,"area":null},{"id":"2304.05055","title":"A Comprehensive Survey on Deep Graph Representation Learning","created":"2023-04-11","cited_by_count":72,"area":null},{"id":"2404.01349","title":"Fairness in Large Language Models: A Taxonomic Survey","created":"2024-03-31","cited_by_count":58,"area":null},{"id":"2404.17169","title":"FairGT: A Fairness-aware Graph Transformer","created":"2024-04-26","cited_by_count":29,"area":null},{"id":"2212.03840","title":"Fairness and Explainability: Bridging the Gap Towards Fair Model Explanations","created":"2022-12-07","cited_by_count":22,"area":null},{"id":"2304.01391","title":"Counterfactual Learning on Graphs: A Survey","created":"2023-04-03","cited_by_count":22,"area":null},{"id":"2307.03929","title":"Fairness-Aware Graph Neural Networks: A Survey","created":"2023-07-08","cited_by_count":22,"area":null},{"id":"2205.05396","title":"A Survey on Fairness for Machine Learning on Graphs","created":"2022-05-11","cited_by_count":20,"area":null},{"id":"2211.14383","title":"Interpreting Unfairness in Graph Neural Networks via Training Node Attribution","created":"2022-11-25","cited_by_count":18,"area":null},{"id":"2407.02408","title":"CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models","created":"2024-07-02","cited_by_count":18,"area":null},{"id":"2410.19265","title":"A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation","created":"2024-10-25","cited_by_count":17,"area":null},{"id":"2206.12104","title":"On Structural Explanation of Bias in Graph Neural Networks","created":"2022-06-24","cited_by_count":15,"area":null},{"id":"2308.13821","title":"A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions","created":"2023-08-26","cited_by_count":15,"area":null},{"id":"2306.05557","title":"On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks","created":"2023-06-08","cited_by_count":13,"area":null},{"id":"2501.01124","title":"Graph2text or Graph2token: A Perspective of Large Language Models for Graph Learning","created":"2025-01-02","cited_by_count":12,"area":null},{"id":"2405.17034","title":"FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks","created":"2024-05-27","cited_by_count":11,"area":null},{"id":"2407.11624","title":"Rethinking Fair Graph Neural Networks from Re-balancing","created":"2024-07-16","cited_by_count":11,"area":null},{"id":"2505.16115","title":"A Generic Framework for Conformal Fairness","created":"2025-05-22","cited_by_count":7,"area":null},{"id":"2305.15622","title":"GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint","created":"2023-05-25","cited_by_count":6,"area":null},{"id":"2310.15653","title":"Deceptive Fairness Attacks on Graphs via Meta Learning","created":"2023-10-24","cited_by_count":6,"area":null},{"id":"2310.16499","title":"Data Optimization in Deep Learning: A Survey","created":"2023-10-25","cited_by_count":6,"area":null},{"id":"2402.04383","title":"FairWire: Fair Graph Generation","created":"2024-02-06","cited_by_count":6,"area":null},{"id":"2402.15988","title":"Towards Fair Graph Anomaly Detection: Problem, Benchmark Datasets, and Evaluation","created":"2024-02-25","cited_by_count":6,"area":null},{"id":"2409.08658","title":"Promoting Fairness in Link Prediction with Graph Enhancement","created":"2024-09-13","cited_by_count":6,"area":null},{"id":"2410.04287","title":"Unveiling the Impact of Local Homophily on GNN Fairness: In-Depth Analysis and New Benchmarks","created":"2024-10-05","cited_by_count":6,"area":null},{"id":"2508.12244","title":"DHG-Bench: A Comprehensive Benchmark for Deep Hypergraph Learning","created":"2025-08-17","cited_by_count":5,"area":null},{"id":"2211.09925","title":"FairMILE: Towards an Efficient Framework for Fair Graph Representation Learning","created":"2022-11-17","cited_by_count":4,"area":null},{"id":"2310.13822","title":"Adversarial Attacks on Fairness of Graph Neural Networks","created":"2023-10-20","cited_by_count":4,"area":null},{"id":"2312.12477","title":"When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook","created":"2023-12-19","cited_by_count":4,"area":null},{"id":"2402.10756","title":"Towards Cohesion-Fairness Harmony: Contrastive Regularization in Individual Fair Graph Clustering","created":"2024-02-16","cited_by_count":4,"area":null},{"id":"2406.13966","title":"Causal Inference with Latent Variables: Recent Advances and Future Prospectives","created":"2024-06-20","cited_by_count":4,"area":null},{"id":"2601.09394","title":"FairGE: Fairness-Aware Graph Encoding in Incomplete Social Networks","created":"2026-01-14","cited_by_count":4,"area":null},{"id":"2307.12065","title":"Spectral Normalized-Cut Graph Partitioning with Fairness Constraints","created":"2023-07-22","cited_by_count":3,"area":null},{"id":"2402.02379","title":"Unveiling the Deficiencies of Pre-trained Text-and-Layout Models in Real-world Visually-rich Document Information Extraction","created":"2024-02-04","cited_by_count":3,"area":null},{"id":"2402.10762","title":"On Explaining Unfairness: An Overview","created":"2024-02-16","cited_by_count":3,"area":null},{"id":"2403.04482","title":"On the Topology Awareness and Generalization Performance of Graph Neural Networks","created":"2024-03-07","cited_by_count":3,"area":null},{"id":"2406.00987","title":"Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement","created":"2024-06-03","cited_by_count":3,"area":null},{"id":"2409.09858","title":"A Survey of Out-of-distribution Generalization for Graph Machine Learning from a Causal View","created":"2024-09-15","cited_by_count":3,"area":null},{"id":"2211.00980","title":"Balancing Utility and Fairness in Submodular Maximization (Technical Report)","created":"2022-11-02","cited_by_count":2,"area":null},{"id":"2308.14338","title":"Fair Few-shot Learning with Auxiliary Sets","created":"2023-08-28","cited_by_count":2,"area":null},{"id":"2310.14527","title":"Marginal Nodes Matter: Towards Structure Fairness in Graphs","created":"2023-10-23","cited_by_count":2,"area":null},{"id":"2401.12824","title":"MAPPING: Debiasing Graph Neural Networks for Fair Node Classification with Limited Sensitive Information Leakage","created":"2024-01-23","cited_by_count":2,"area":null},{"id":"2402.12937","title":"GRAPHGINI: Fostering Individual and Group Fairness in Graph Neural Networks","created":"2024-02-20","cited_by_count":2,"area":null},{"id":"2404.01341","title":"Block-Diagonal Guided DBSCAN Clustering","created":"2024-03-31","cited_by_count":2,"area":null},{"id":"2405.09543","title":"Algorithmic Fairness: A Tolerance Perspective","created":"2024-04-26","cited_by_count":2,"area":null},{"id":"2407.12112","title":"A Benchmark for Fairness-Aware Graph Learning","created":"2024-07-16","cited_by_count":2,"area":null},{"id":"2504.21296","title":"Fairness in Augmented Graph Learning: A Survey","created":"2025-04-30","cited_by_count":2,"area":null},{"id":"2510.18473","title":"Benchmarking Fairness-aware Graph Neural Networks in Knowledge Graphs","created":"2025-10-21","cited_by_count":2,"area":null},{"id":"2511.06568","title":"Breaking the Dyadic Barrier: Rethinking Fairness in Link Prediction Beyond Demographic Parity","created":"2025-11-09","cited_by_count":2,"area":null},{"id":"2303.08157","title":"Graph Neural Network Surrogates of Fair Graph Filtering","created":"2023-03-14","cited_by_count":1,"area":null},{"id":"2306.10123","title":"Dual Node and Edge Fairness-Aware Graph Partition","created":"2023-06-16","cited_by_count":1,"area":null},{"id":"2409.01367","title":"Debiasing Graph Representation Learning based on Information Bottleneck","created":"2024-09-02","cited_by_count":1,"area":null},{"id":"2411.04371","title":"ComFairGNN: Community Fair Graph Neural Network","created":"2024-11-07","cited_by_count":1,"area":null},{"id":"2508.20333","title":"Poison Once, Refuse Forever: Weaponizing Alignment for Injecting Bias in LLMs","created":"2025-08-28","cited_by_count":1,"area":null},{"id":"2602.02512","title":"Efficient Edge Rewiring Strategies for Enhancing PageRank Fairness","created":"2026-01-23","cited_by_count":1,"area":null},{"id":"2602.08589","title":"FairRARI: A Plug and Play Framework for Fairness-Aware PageRank","created":"2026-02-09","cited_by_count":1,"area":null},{"id":"2306.04212","title":"Migrate Demographic Group For Fair GNNs","created":"2023-06-07","cited_by_count":0,"area":null},{"id":"2311.01591","title":"Fair Graph Machine Learning under Adversarial Missingness Processes","created":"2023-11-02","cited_by_count":0,"area":null},{"id":"2312.04883","title":"Understanding Community Bias Amplification in Graph Representation Learning","created":"2023-12-08","cited_by_count":0,"area":null},{"id":"2406.03314","title":"Reproducibility study of FairAC","created":"2024-06-05","cited_by_count":0,"area":null},{"id":"2406.16557","title":"Efficient k-means with Individual Fairness via Exponential Tilting","created":"2024-06-24","cited_by_count":0,"area":null},{"id":"2508.10785","title":"Enhancing Fairness in Autoencoders for Node-Level Graph Anomaly Detection","created":"2025-08-14","cited_by_count":0,"area":null},{"id":"2509.12396","title":"Information Loss and Disparate Effects in Network Embeddings","created":"2025-09-15","cited_by_count":0,"area":null},{"id":"2510.03899","title":"Fair Minimum Labeling: Efficient Temporal Network Activations for Reachability and Equity","created":"2025-10-04","cited_by_count":0,"area":null},{"id":"2510.07536","title":"Estimating Fair Graphs from Graph-Stationary Data","created":"2025-10-08","cited_by_count":0,"area":null},{"id":"2510.23469","title":"Towards Fair Graph Prompting: A Dual-Prompt Mechanism for Mitigating Attribute and Structural Bias","created":"2025-10-27","cited_by_count":0,"area":null},{"id":"2510.23507","title":"A Deep Latent Factor Graph Clustering with Fairness-Utility Trade-off Perspective","created":"2025-10-27","cited_by_count":0,"area":null},{"id":"2512.07433","title":"Mitigating Bias in Graph Hyperdimensional Computing","created":"2025-12-08","cited_by_count":0,"area":null},{"id":"2601.12751","title":"A Boolean Function-Theoretic Framework for Expressivity in GNNs with Applications to Fair Graph Mining","created":"2026-01-19","cited_by_count":0,"area":null},{"id":"2603.28321","title":"FairGC: Fairness-aware Graph Condensation","created":"2026-03-30","cited_by_count":0,"area":null},{"id":"2606.17684","title":"Geometrical fairness in graph neural networks","created":"2026-06-16","cited_by_count":0,"area":null},{"id":"2608.09899","title":"Fairness in Link Prediction Beyond Demographic Parity: A Reproducibility Study","created":"2026-08-10","cited_by_count":0,"area":null}],"next_cursor":null}