{"total":18,"rows":[{"id":"2304.05055","title":"A Comprehensive Survey on Deep Graph Representation Learning","created":"2023-04-11","cited_by_count":72,"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":"2310.02861","title":"Rayleigh Quotient Graph Neural Networks for Graph-level Anomaly Detection","created":"2023-10-04","cited_by_count":19,"area":null},{"id":"2402.00447","title":"A Survey of Data-Efficient Graph Learning","created":"2024-02-01","cited_by_count":18,"area":null},{"id":"2305.19598","title":"Towards Semi-supervised Universal Graph Classification","created":"2023-05-31","cited_by_count":15,"area":null},{"id":"2310.03312","title":"Certifiably Robust Graph Contrastive Learning","created":"2023-10-05","cited_by_count":5,"area":null},{"id":"2403.00037","title":"Evolving to the Future: Unseen Event Adaptive Fake News Detection on Social Media","created":"2024-02-29","cited_by_count":5,"area":null},{"id":"2502.13555","title":"Democratizing Large Language Model-Based Graph Data Augmentation via Latent Knowledge Graphs","created":"2025-02-19","cited_by_count":5,"area":null},{"id":"2411.02279","title":"Enhancing the Influence of Labels on Unlabeled Nodes in Graph Convolutional Networks","created":"2024-11-04","cited_by_count":4,"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":"2406.08709","title":"Introducing Diminutive Causal Structure into Graph Representation Learning","created":"2024-06-13","cited_by_count":1,"area":null},{"id":"2410.12657","title":"Explanation-Preserving Augmentation for Semi-Supervised Graph Representation Learning","created":"2024-10-16","cited_by_count":1,"area":null},{"id":"2411.15206","title":"Conditional Distribution Learning for Graph Classification","created":"2024-11-20","cited_by_count":1,"area":null},{"id":"2503.14813","title":"Scaled Supervision is an Implicit Lipschitz Regularizer","created":"2025-03-19","cited_by_count":1,"area":null},{"id":"2306.10505","title":"Structure-Sensitive Graph Dictionary Embedding for Graph Classification","created":"2023-06-18","cited_by_count":0,"area":null},{"id":"2501.14694","title":"Towards Automated Self-Supervised Learning for Truly Unsupervised Graph Anomaly Detection","created":"2025-01-24","cited_by_count":0,"area":null},{"id":"2509.20978","title":"FracAug: Fractional Augmentation boost Graph-level Anomaly Detection under Limited Supervision","created":"2025-09-25","cited_by_count":0,"area":null},{"id":"2608.15084","title":"GATTA: Graph Active Learning with Test-Time Augmentation","created":"2026-08-15","cited_by_count":0,"area":null}],"next_cursor":null}