{"total":28,"rows":[{"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":"2202.13538","title":"Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning","created":"2022-02-28","cited_by_count":28,"area":null},{"id":"2110.14854","title":"RIM: Reliable Influence-based Active Learning on Graphs","created":"2021-10-28","cited_by_count":23,"area":null},{"id":"2310.04987","title":"Data-centric Graph Learning: A Survey","created":"2023-10-08","cited_by_count":22,"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":"2211.03074","title":"A Survey on Influence Maximization: From an ML-Based Combinatorial Optimization","created":"2022-11-06","cited_by_count":15,"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":"2506.17709","title":"CEGA: A Cost-Effective Approach for Graph-Based Model Extraction and Acquisition","created":"2025-06-21","cited_by_count":10,"area":null},{"id":"2401.02086","title":"View-based Explanations for Graph Neural Networks","created":"2024-01-04","cited_by_count":8,"area":null},{"id":"2503.16693","title":"ATOM: A Framework of Detecting Query-Based Model Extraction Attacks for Graph Neural Networks","created":"2025-03-20","cited_by_count":8,"area":null},{"id":"2305.10673","title":"Less Can Be More: Unsupervised Graph Pruning for Large-scale Dynamic Graphs","created":"2023-05-18","cited_by_count":7,"area":null},{"id":"2406.09675","title":"A Comprehensive Benchmark on Spectral GNNs: The Impact on Efficiency, Memory, and Effectiveness","created":"2024-06-14","cited_by_count":6,"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":"2205.10403","title":"Tackling Provably Hard Representative Selection via Graph Neural Networks","created":"2022-05-20","cited_by_count":2,"area":null},{"id":"2408.00232","title":"CDFGNN: a Systematic Design of Cache-based Distributed Full-Batch Graph Neural Network Training with Communication Reduction","created":"2024-08-01","cited_by_count":2,"area":null},{"id":"2206.04255","title":"ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning","created":"2022-06-09","cited_by_count":1,"area":null},{"id":"2308.00146","title":"DiffusAL: Coupling Active Learning with Graph Diffusion for Label-Efficient Node Classification","created":"2023-07-31","cited_by_count":1,"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":"2506.17977","title":"SliceGX: Layer-wise GNN Explanation with Model-slicing","created":"2025-06-22","cited_by_count":1,"area":null},{"id":"2609.05955","title":"LoGIC: Budgeted Context Construction for Node-Level Graph In-Context Learning with Tabular Foundation Models","created":"2026-09-05","cited_by_count":1,"area":null},{"id":"2110.06532","title":"Finding Materialized Models for Model Reuse","created":"2021-10-13","cited_by_count":0,"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":"2406.02979","title":"Efficient User Sequence Learning for Online Services via Compressed Graph Neural Networks","created":"2024-06-05","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":"2606.04647","title":"ALINC: Active Learning for Inductive Node Classification via Graph Sampling","created":"2026-06-03","cited_by_count":0,"area":null},{"id":"2608.29001","title":"Effective Graph and Rank-based Contextual Embeddings for Textual and Multimedia Data","created":"2026-08-29","cited_by_count":0,"area":null}],"next_cursor":null}