{"total":25,"rows":[{"id":"2303.10158","title":"Data-centric Artificial Intelligence: A Survey","created":"2023-03-17","cited_by_count":203,"area":null},{"id":"2308.09663","title":"GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction","created":"2023-08-18","cited_by_count":21,"area":null},{"id":"2402.06128","title":"Rethinking Node-wise Propagation for Large-scale Graph Learning","created":"2024-02-09","cited_by_count":16,"area":null},{"id":"2406.02594","title":"Graph Neural Networks for Brain Graph Learning: A Survey","created":"2024-06-01","cited_by_count":13,"area":null},{"id":"2307.11981","title":"Collaborative Graph Neural Networks for Attributed Network Embedding","created":"2023-07-22","cited_by_count":8,"area":null},{"id":"2406.11891","title":"Towards Adaptive Neighborhood for Advancing Temporal Interaction Graph Modeling","created":"2024-06-14","cited_by_count":8,"area":null},{"id":"2305.01868","title":"Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models","created":"2023-05-03","cited_by_count":5,"area":null},{"id":"2405.11911","title":"Accurate Link Prediction for Edge-Incomplete Graphs via PU Learning","created":"2024-05-20","cited_by_count":5,"area":null},{"id":"2411.01535","title":"Customized Subgraph Selection and Encoding for Drug-drug Interaction Prediction","created":"2024-11-03","cited_by_count":4,"area":null},{"id":"2410.10320","title":"DiRW: Path-Aware Digraph Learning for Heterophily","created":"2024-10-14","cited_by_count":3,"area":null},{"id":"2411.08374","title":"Federated Graph Learning with Graphless Clients","created":"2024-11-13","cited_by_count":3,"area":null},{"id":"2411.14711","title":"Can GNNs Learn Link Heuristics? A Concise Review and Evaluation of Link Prediction Methods","created":"2024-11-22","cited_by_count":3,"area":null},{"id":"2309.01808","title":"DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research","created":"2023-09-04","cited_by_count":2,"area":null},{"id":"2310.14527","title":"Marginal Nodes Matter: Towards Structure Fairness in Graphs","created":"2023-10-23","cited_by_count":2,"area":null},{"id":"2402.11339","title":"Expressive Higher-Order Link Prediction through Hypergraph Symmetry Breaking","created":"2024-02-17","cited_by_count":2,"area":null},{"id":"2410.02826","title":"LinkThief: Combining Generalized Structure Knowledge with Node Similarity for Link Stealing Attack against GNN","created":"2024-10-01","cited_by_count":2,"area":null},{"id":"2502.05868","title":"Norm Augmented Graph AutoEncoders for Link Prediction","created":"2025-02-09","cited_by_count":2,"area":null},{"id":"2302.14329","title":"Towards Personalized Preprocessing Pipeline Search","created":"2023-02-28","cited_by_count":1,"area":null},{"id":"2309.00816","title":"Trustworthiness-Driven Graph Convolutional Networks for Signed Network Embedding","created":"2023-09-02","cited_by_count":1,"area":null},{"id":"2504.09493","title":"Federated Prototype Graph Learning","created":"2025-04-13","cited_by_count":1,"area":null},{"id":"2504.09963","title":"Towards Unbiased Federated Graph Learning: Label and Topology Perspectives","created":"2025-04-14","cited_by_count":1,"area":null},{"id":"2507.09132","title":"Heterogeneous Graph Prompt Learning via Adaptive Weight Pruning","created":"2025-07-12","cited_by_count":1,"area":null},{"id":"2502.12777","title":"Evaluating link prediction: New perspectives and recommendations","created":"2025-02-18","cited_by_count":0,"area":null},{"id":"2505.00983","title":"Toward Data-centric Directed Graph Learning: An Entropy-driven Approach","created":"2025-05-02","cited_by_count":0,"area":null},{"id":"2607.16198","title":"A Survey on GNN-based Link Prediction: Techniques, Applications, and Challenges","created":"2026-04-29","cited_by_count":0,"area":null}],"next_cursor":null}