{"total":45,"rows":[{"id":"2202.02466","title":"Handling Distribution Shifts on Graphs: An Invariance Perspective","created":"2022-02-05","cited_by_count":164,"area":null},{"id":"2212.05767","title":"A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multimodal","created":"2022-12-12","cited_by_count":106,"area":null},{"id":"2106.12144","title":"NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs","created":"2021-06-23","cited_by_count":72,"area":null},{"id":"2211.02843","title":"Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift","created":"2022-11-05","cited_by_count":38,"area":null},{"id":"2110.14170","title":"Meta-Knowledge Transfer for Inductive Knowledge Graph Embedding","created":"2021-10-27","cited_by_count":32,"area":null},{"id":"2210.03994","title":"Relational Message Passing for Fully Inductive Knowledge Graph Completion","created":"2022-10-08","cited_by_count":30,"area":null},{"id":"2112.10006","title":"Zero-shot and Few-shot Learning with Knowledge Graphs: A Comprehensive Survey","created":"2021-12-18","cited_by_count":23,"area":null},{"id":"2107.04894","title":"Improving Inductive Link Prediction Using Hyper-Relational Facts","created":"2021-07-10","cited_by_count":22,"area":null},{"id":"2202.02989","title":"Graph Self-supervised Learning with Accurate Discrepancy Learning","created":"2022-02-07","cited_by_count":21,"area":null},{"id":"2210.08654","title":"Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graphs","created":"2022-10-16","cited_by_count":21,"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":"2302.01859","title":"Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs","created":"2023-02-03","cited_by_count":14,"area":null},{"id":"2203.09308","title":"Few-Shot Learning on Graphs","created":"2022-03-17","cited_by_count":11,"area":null},{"id":"2106.06410","title":"What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Data","created":"2021-06-11","cited_by_count":10,"area":null},{"id":"2310.04835","title":"On the Evolution of Knowledge Graphs: A Survey and Perspective","created":"2023-10-07","cited_by_count":10,"area":null},{"id":"2207.11436","title":"Facing Changes: Continual Entity Alignment for Growing Knowledge Graphs","created":"2022-07-23","cited_by_count":8,"area":null},{"id":"2211.08169","title":"Few-Shot Inductive Learning on Temporal Knowledge Graphs using Concept-Aware Information","created":"2022-11-15","cited_by_count":8,"area":null},{"id":"2211.14568","title":"BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for Graph Continual Learning","created":"2022-11-26","cited_by_count":8,"area":null},{"id":"2302.01849","title":"Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph Embedding","created":"2023-02-03","cited_by_count":8,"area":null},{"id":"2103.00137","title":"Meta-Learning with Graph Neural Networks: Methods and Applications","created":"2021-02-27","cited_by_count":7,"area":null},{"id":"2209.01397","title":"Disconnected Emerging Knowledge Graph Oriented Inductive Link Prediction","created":"2022-09-03","cited_by_count":7,"area":null},{"id":"2407.14732","title":"Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training","created":"2024-07-20","cited_by_count":7,"area":null},{"id":"2112.01989","title":"Survey on English Entity Linking on Wikidata","created":"2021-12-03","cited_by_count":6,"area":null},{"id":"2208.10378","title":"Inductive Knowledge Graph Reasoning for Multi-batch Emerging Entities","created":"2022-08-22","cited_by_count":6,"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":"2402.01440","title":"A Survey of Few-Shot Learning on Graphs: from Meta-Learning to Pre-Training and Prompt Learning","created":"2024-02-02","cited_by_count":6,"area":null},{"id":"2504.13429","title":"Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs","created":"2025-04-18","cited_by_count":6,"area":null},{"id":"2206.03695","title":"Metric Based Few-Shot Graph Classification","created":"2022-06-08","cited_by_count":4,"area":null},{"id":"2307.01204","title":"Towards Few-shot Inductive Link Prediction on Knowledge Graphs: A Relational Anonymous Walk-guided Neural Process Approach","created":"2023-06-26","cited_by_count":4,"area":null},{"id":"2404.06220","title":"Zero-Shot Relational Learning for Multimodal Knowledge Graphs","created":"2024-04-09","cited_by_count":3,"area":null},{"id":"2106.06873","title":"Robust Graph Meta-learning for Weakly-supervised Few-shot Node Classification","created":"2021-06-12","cited_by_count":2,"area":null},{"id":"2304.00613","title":"Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs using Confidence-Augmented Reinforcement Learning","created":"2023-04-02","cited_by_count":2,"area":null},{"id":"2312.04997","title":"Beyond Transduction: A Survey on Inductive, Few Shot, and Zero Shot Link Prediction in Knowledge Graphs","created":"2023-12-08","cited_by_count":2,"area":null},{"id":"2404.08657","title":"Advancing Extrapolative Predictions of Material Properties through Learning to Learn","created":"2024-03-25","cited_by_count":2,"area":null},{"id":"2212.03091","title":"ZeroKBC: A Comprehensive Benchmark for Zero-Shot Knowledge Base Completion","created":"2022-12-06","cited_by_count":1,"area":null},{"id":"2305.19871","title":"There is more to graphs than meets the eye: Learning universal features with self-supervision","created":"2023-05-31","cited_by_count":1,"area":null},{"id":"2401.05468","title":"Introducing New Node Prediction in Graph Mining: Predicting All Links from Isolated Nodes with Graph Neural Networks","created":"2024-01-10","cited_by_count":1,"area":null},{"id":"2502.09335","title":"Graph Diffusion Network for Drug-Gene Prediction","created":"2025-02-13","cited_by_count":1,"area":null},{"id":"2502.16076","title":"Harnessing Feature Resonance under Arbitrary Target Alignment for Out-of-Distribution Node Detection","created":"2025-02-22","cited_by_count":1,"area":null},{"id":"2503.03211","title":"NodeReg: Mitigating the Imbalance and Distribution Shift Effects in Semi-Supervised Node Classification via Norm Consistency","created":"2025-03-05","cited_by_count":1,"area":null},{"id":"2510.09735","title":"InterCorpRel-LLM: Enhancing Financial Relational Understanding with Graph-Language Models","created":"2025-10-10","cited_by_count":1,"area":null},{"id":"2311.02116","title":"Resist Label Noise with PGM for Graph Neural Networks","created":"2023-11-03","cited_by_count":0,"area":null},{"id":"2601.10358","title":"PLGC: Pseudo-Labeled Graph Condensation","created":"2026-01-15","cited_by_count":0,"area":null},{"id":"2608.05259","title":"IMMENSE: Inductive Multi-perspective User Classification in Social Networks","created":"2026-08-05","cited_by_count":0,"area":null},{"id":"2609.02216","title":"PEARL: Path-Entity Aligned Relational Learning with Contextual Subgraphs for Inductive Knowledge Graph Completion","created":"2026-09-02","cited_by_count":0,"area":null}],"next_cursor":null}