{"total":41,"rows":[{"id":"2304.08130","title":"A Survey on Few-Shot Class-Incremental Learning","created":"2023-04-17","cited_by_count":48,"area":null},{"id":"2306.06063","title":"Virtual Node Tuning for Few-shot Node Classification","created":"2023-06-09","cited_by_count":46,"area":null},{"id":"2202.10688","title":"Graph Lifelong Learning: A Survey","created":"2022-02-22","cited_by_count":30,"area":null},{"id":"2210.12130","title":"Graph Few-shot Learning with Task-specific Structures","created":"2022-10-21","cited_by_count":26,"area":null},{"id":"2212.05606","title":"Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification","created":"2022-12-11","cited_by_count":24,"area":null},{"id":"2307.02246","title":"S3C: Self-Supervised Stochastic Classifiers for Few-Shot Class-Incremental Learning","created":"2023-07-05","cited_by_count":23,"area":null},{"id":"2205.02435","title":"FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs","created":"2022-05-05","cited_by_count":22,"area":null},{"id":"2402.11565","title":"Continual Learning on Graphs: Challenges, Solutions, and Opportunities","created":"2024-02-18","cited_by_count":21,"area":null},{"id":"2301.12230","title":"Continual Graph Learning: A Survey","created":"2023-01-28","cited_by_count":18,"area":null},{"id":"2402.00447","title":"A Survey of Data-Efficient Graph Learning","created":"2024-02-01","cited_by_count":18,"area":null},{"id":"2402.12987","title":"Towards Robust Graph Incremental Learning on Evolving Graphs","created":"2024-02-20","cited_by_count":18,"area":null},{"id":"2402.16374","title":"Graph Learning under Distribution Shifts: A Comprehensive Survey on Domain Adaptation, Out-of-distribution, and Continual Learning","created":"2024-02-26","cited_by_count":18,"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":"2301.02708","title":"Few-shot Node Classification with Extremely Weak Supervision","created":"2023-01-06","cited_by_count":14,"area":null},{"id":"2401.13200","title":"Topology-aware Embedding Memory for Continual Learning on Expanding Networks","created":"2024-01-24","cited_by_count":14,"area":null},{"id":"2407.07468","title":"Rethinking Few-shot Class-incremental Learning: Learning from Yourself","created":"2024-07-10","cited_by_count":14,"area":null},{"id":"2205.15225","title":"Few-shot Class-incremental Learning for 3D Point Cloud Objects","created":"2022-05-30","cited_by_count":13,"area":null},{"id":"2203.09308","title":"Few-Shot Learning on Graphs","created":"2022-03-17","cited_by_count":11,"area":null},{"id":"2306.15154","title":"Contrastive Meta-Learning for Few-shot Node Classification","created":"2023-06-27","cited_by_count":11,"area":null},{"id":"2411.06659","title":"An Efficient Memory Module for Graph Few-Shot Class-Incremental Learning","created":"2024-11-11","cited_by_count":10,"area":null},{"id":"2203.15936","title":"Supervised Graph Contrastive Learning for Few-shot Node Classification","created":"2022-03-29","cited_by_count":9,"area":null},{"id":"2404.00983","title":"Continual Learning for Smart City: A Survey","created":"2024-04-01","cited_by_count":9,"area":null},{"id":"2302.03534","title":"On the Limitation and Experience Replay for GNNs in Continual Learning","created":"2023-02-07","cited_by_count":7,"area":null},{"id":"2406.07413","title":"Towards Continuous Reuse of Graph Models via Holistic Memory Diversification","created":"2024-06-11","cited_by_count":7,"area":null},{"id":"2301.01172","title":"A Survey On Few-shot Knowledge Graph Completion with Structural and Commonsense Knowledge","created":"2023-01-03","cited_by_count":6,"area":null},{"id":"2503.22097","title":"Few-Shot Graph Out-of-Distribution Detection with LLMs","created":"2025-03-28","cited_by_count":6,"area":null},{"id":"2406.17992","title":"Catching Chameleons: Detecting Evolving Disinformation Generated using Large Language Models","created":"2024-06-26","cited_by_count":5,"area":null},{"id":"2207.05068","title":"Few-Shot Semantic Relation Prediction across Heterogeneous Graphs","created":"2022-07-11","cited_by_count":4,"area":null},{"id":"2407.17816","title":"NC-NCD: Novel Class Discovery for Node Classification","created":"2024-07-25","cited_by_count":4,"area":null},{"id":"2407.19183","title":"Graph Memory Learning: Imitating Lifelong Remembering and Forgetting of Brain Networks","created":"2024-07-27","cited_by_count":4,"area":null},{"id":"2411.12913","title":"MLDGG: Meta-Learning for Domain Generalization on Graphs","created":"2024-11-19","cited_by_count":4,"area":null},{"id":"2502.08181","title":"Latest Advancements Towards Catastrophic Forgetting under Data Scarcity: A Comprehensive Survey on Few-Shot Class Incremental Learning","created":"2025-02-12","cited_by_count":4,"area":null},{"id":"2410.09237","title":"Foundation Model-Powered 3D Few-Shot Class Incremental Learning via Training-free Adaptor","created":"2024-10-11","cited_by_count":3,"area":null},{"id":"2411.06634","title":"Inductive Graph Few-shot Class Incremental Learning","created":"2024-11-11","cited_by_count":3,"area":null},{"id":"2501.04102","title":"Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization","created":"2025-01-07","cited_by_count":2,"area":null},{"id":"2502.07968","title":"Generative Risk Minimization for Out-of-Distribution Generalization on Graphs","created":"2025-02-11","cited_by_count":2,"area":null},{"id":"2504.04963","title":"Constraint Multi-class Positive and Unlabeled Learning for Distantly Supervised Named Entity Recognition","created":"2025-04-07","cited_by_count":0,"area":null},{"id":"2504.13691","title":"MEGA: Second-Order Gradient Alignment for Catastrophic Forgetting Mitigation in GFSCIL","created":"2025-04-18","cited_by_count":0,"area":null},{"id":"2603.01941","title":"BAED: a New Paradigm for Few-shot Graph Learning with Explanation in the Loop","created":"2026-03-02","cited_by_count":0,"area":null},{"id":"2609.18595","title":"ReDIL-GNN: Resynthesis Domain Incremental Learning for Circuit Graph Neural Networks","created":"2026-09-16","cited_by_count":0,"area":null},{"id":"2610.04963","title":"MAGIC: Topology-Aware Analytic Graph Few-Shot Class-Incremental Learning","created":"2026-10-04","cited_by_count":0,"area":null}],"next_cursor":null}