Scholars deliver the first systematic survey of Dynamic GNNs, unifying continuous- and discrete-time models, benchmarking ...
23h
Swinging abyss: Oxygen isotope analysis shows less dynamic Antarctic ice sheet in Oligocene period
Oxygen isotopes data enable researchers to look far back into the geologic past and reconstruct the climate of the past. In ...
Author Shawn Peters blends clarity and rigor to make data structures and algorithms accessible to all learners. COLORADO, CO, UNITED STATES, January 2, 2026 /EINPresswire.com/ — Vibrant Publishers ...
@inproceedings{steinke2025curbosg, author={Steinke, Tim and Büchner, Martin and Vödisch, Niclas and Valada, Abhinav}, booktitle={2025 IEEE/RSJ International Conference on Intelligent Robots and ...
Federated graph learning advances the field of federated learning by enabling privacy-preserving collaborative training on distributed graph data. Conventional federated graph learning methods excel ...
Abstract: Neuroimaging analysis aims to reveal the information-processing mechanisms of the human brain in a noninvasive manner. In the past, graph neural networks (GNNs) have shown promise in ...
Abstract: Change point detection is crucial for identifying state transitions and anomalies in dynamic systems, with applications in network security, health care, and social network analysis. Dynamic ...
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