{"total":21,"rows":[{"id":"2212.04612","title":"Training Data Influence Analysis and Estimation: A Survey","created":"2022-12-09","cited_by_count":135,"area":null},{"id":"2310.04668","title":"Label-free Node Classification on Graphs with Large Language Models (LLMS)","created":"2023-10-07","cited_by_count":72,"area":null},{"id":"2203.01093","title":"Information Gain Propagation: a new way to Graph Active Learning with Soft Labels","created":"2022-03-02","cited_by_count":16,"area":null},{"id":"2309.10979","title":"Towards Data-centric Graph Machine Learning: Review and Outlook","created":"2023-09-20","cited_by_count":15,"area":null},{"id":"2302.14061","title":"Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks","created":"2023-02-27","cited_by_count":9,"area":null},{"id":"2502.11836","title":"Model Generalization on Text Attribute Graphs: Principles with Large Language Models","created":"2025-02-17","cited_by_count":8,"area":null},{"id":"2412.11983","title":"Leveraging Large Language Models for Effective Label-free Node Classification in Text-Attributed Graphs","created":"2024-12-16","cited_by_count":6,"area":null},{"id":"2604.08553","title":"GNN-as-Judge: Unleashing the Power of LLMs for Graph Learning with GNN Feedback","created":"2026-03-11","cited_by_count":4,"area":null},{"id":"2304.11989","title":"Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs","created":"2023-04-24","cited_by_count":3,"area":null},{"id":"2308.08823","title":"Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active Learning","created":"2023-08-17","cited_by_count":3,"area":null},{"id":"2408.07941","title":"Robust Offline Active Learning on Graphs","created":"2024-08-15","cited_by_count":3,"area":null},{"id":"2505.19762","title":"Language Models as Messengers: Enhancing Message Passing in Heterophilic Graph Learning","created":"2025-05-26","cited_by_count":2,"area":null},{"id":"2402.02321","title":"Active Learning for Graphs with Noisy Structures","created":"2024-02-04","cited_by_count":1,"area":null},{"id":"2503.18195","title":"Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation","created":"2025-03-23","cited_by_count":1,"area":null},{"id":"2112.14840","title":"K-Core Decomposition on Super Large Graphs with Limited Resources","created":"2021-12-26","cited_by_count":0,"area":null},{"id":"2410.19176","title":"Perturbation-based Graph Active Learning for Weakly-Supervised Belief Representation Learning","created":"2024-10-24","cited_by_count":0,"area":null},{"id":"2503.14571","title":"Efficient Data Selection for Training Genomic Perturbation Models","created":"2025-03-18","cited_by_count":0,"area":null},{"id":"2507.20490","title":"HIAL: A New Paradigm for Hypergraph Active Learning via Influence Maximization","created":"2025-07-28","cited_by_count":0,"area":null},{"id":"2507.22434","title":"RANA: Robust Active Learning for Noisy Network Alignment","created":"2025-07-30","cited_by_count":0,"area":null},{"id":"2605.27913","title":"Where LLM Annotators Fail: Label-Free Learning on Graphs with LLMs","created":"2026-05-27","cited_by_count":0,"area":null},{"id":"2606.11583","title":"Beyond the Golden Teacher: Enhancing Graph Learning through LLM-GNN Co-teaching","created":"2026-06-10","cited_by_count":0,"area":null}],"next_cursor":null}