{"total":14,"rows":[{"id":"2403.04468","title":"A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges","created":"2024-03-07","cited_by_count":54,"area":null},{"id":"2405.11868","title":"Towards Graph Contrastive Learning: A Survey and Beyond","created":"2024-05-20","cited_by_count":26,"area":null},{"id":"2402.00447","title":"A Survey of Data-Efficient Graph Learning","created":"2024-02-01","cited_by_count":18,"area":null},{"id":"2405.04773","title":"Hypergraph-enhanced Dual Semi-supervised Graph Classification","created":"2024-05-08","cited_by_count":8,"area":null},{"id":"2308.16609","title":"Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts","created":"2023-08-31","cited_by_count":5,"area":null},{"id":"2404.12569","title":"Multi-View Subgraph Neural Networks: Self-Supervised Learning with Scarce Labeled Data","created":"2024-04-19","cited_by_count":5,"area":null},{"id":"2406.07314","title":"Rethinking the impact of noisy labels in graph classification: A utility and privacy perspective","created":"2024-06-11","cited_by_count":5,"area":null},{"id":"2407.14081","title":"DisenSemi: Semi-supervised Graph Classification via Disentangled Representation Learning","created":"2024-07-19","cited_by_count":3,"area":null},{"id":"2505.17599","title":"Dynamic Bundling with Large Language Models for Zero-Shot Inference on Text-Attributed Graphs","created":"2025-05-23","cited_by_count":3,"area":null},{"id":"2403.01091","title":"COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting","created":"2024-03-02","cited_by_count":2,"area":null},{"id":"2405.10633","title":"Harnessing Collective Structure Knowledge in Data Augmentation for Graph Neural Networks","created":"2024-05-17","cited_by_count":2,"area":null},{"id":"2412.17271","title":"Multi-view Fuzzy Graph Attention Networks for Enhanced Graph Learning","created":"2024-12-23","cited_by_count":2,"area":null},{"id":"2406.13228","title":"AGSOA:Graph Neural Network Targeted Attack Based on Average Gradient and Structure Optimization","created":"2024-06-19","cited_by_count":1,"area":null},{"id":"2601.17469","title":"Identifying and Correcting Label Noise for Robust GNNs via Influence Contradiction","created":"2026-01-24","cited_by_count":1,"area":null}],"next_cursor":null}