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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

GI-Graph: A Generative Invariant Graph Learning Scheme Towards Out-of-Distribution Generalization

Abstract: When distribution shifts occur between testing and training graph data, out-of-distribution (OOD) samples undermine the performance of graph neural networks (GNNs). To improve adaptive OOD ...
IEEE

Using Graph Neural Networks to Improve Generalization Capability of the Models for Deepfake Detection

Abstract: Deepfake detection plays a key role in preventing the misuses of artificial intelligence in video editing. Current deep learning-based deepfake detection methods often perform quite well in ...
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 ...