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From global open multi-source data to network-wide traffic flow: A large-scale case study across multiple cities

To address the trade-off between accuracy and cross-city generalization in traffic flow estimation, a research team from The ...
IEEE

Beyond Message-Passing: Generalization of Graph Neural Networks via Feature Perturbation for Semi-Supervised Node Classification

Abstract: Graph neural networks (GNNs) that collect information from neighbors are commonly utilized in semi-supervised learning contexts. In particular, a significant body of research has been ...
GitHub

Code: Dynamics-Informed Reservoir Computing with Visibility Graphs

This program is free software: you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation, either version 3 of the ...
IEEE

Test-Time Domain Generalization via Universe Learning: A Multi-Graph Matching Approach for Medical Image Segmentation

Abstract: Despite domain generalization (DG) has significantly addressed the performance degradation of pre-trained models caused by domain shifts, it often falls short in real-world deployment.