{"total":15,"rows":[{"id":"2106.03535","title":"Graph Neural Networks in Network Neuroscience","created":"2021-06-07","cited_by_count":92,"area":null},{"id":"2207.11812","title":"Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications","created":"2022-07-24","cited_by_count":14,"area":null},{"id":"2104.03895","title":"MGN-Net: a multi-view graph normalizer for integrating heterogeneous biological network populations","created":"2021-04-04","cited_by_count":8,"area":null},{"id":"2105.02565","title":"Brain Multigraph Prediction using Topology-Aware Adversarial Graph Neural Network","created":"2021-05-06","cited_by_count":8,"area":null},{"id":"2110.11237","title":"Recurrent Brain Graph Mapper for Predicting Time-Dependent Brain Graph Evaluation Trajectory","created":"2021-10-06","cited_by_count":4,"area":null},{"id":"2204.00323","title":"Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications","created":"2022-04-01","cited_by_count":4,"area":null},{"id":"2204.05110","title":"Comparative Survey of Multigraph Integration Methods for Holistic Brain Connectivity Mapping","created":"2022-04-05","cited_by_count":4,"area":null},{"id":"2110.03453","title":"Recurrent Multigraph Integrator Network for Predicting the Evolution of Population-Driven Brain Connectivity Templates","created":"2021-10-06","cited_by_count":3,"area":null},{"id":"2110.11238","title":"One Representative-Shot Learning Using a Population-Driven Template with Application to Brain Connectivity Classification and Evolution Prediction","created":"2021-10-06","cited_by_count":3,"area":null},{"id":"2209.13529","title":"Deep Cross-Modality and Resolution Graph Integration for Universal Brain Connectivity Mapping and Augmentation","created":"2022-09-13","cited_by_count":2,"area":null},{"id":"2209.06005","title":"Predicting Brain Multigraph Population From a Single Graph Template for Boosting One-Shot Classification","created":"2022-09-13","cited_by_count":1,"area":null},{"id":"2212.07790","title":"Population Template-Based Brain Graph Augmentation for Improving One-Shot Learning Classification","created":"2022-12-14","cited_by_count":1,"area":null},{"id":"2508.11436","title":"Multi-Sensory Cognitive Computing for Learning Population-level Brain Connectivity","created":"2025-08-15","cited_by_count":1,"area":null},{"id":"2509.10864","title":"CogGNN: Cognitive Graph Neural Networks in Generative Connectomics","created":"2025-09-13","cited_by_count":1,"area":null},{"id":"2403.09139","title":"Metadata-Driven Federated Learning of Connectional Brain Templates in Non-IID Multi-Domain Scenarios","created":"2024-03-14","cited_by_count":0,"area":null}],"next_cursor":null}