Abstract: Graph neural networks (GNNs) could directly deal with the data of graph structure. Current GNNs are confined to the spatial domain and learn real low-dimensional embeddings in graph ...
This is a PyTorch implementation of the GraphATA algorithm, which tries to address the multi-source domain adaptation problem without accessing the labelled source graph. Unlike previous multi-source ...
School of Information and Electrical Engineering, Hangzhou City University, Hangzhou, Zhejiang Province 310015, China Research Center for Analytical Instrumentation, College of Control Science and ...
Laboratory for Biomolecular Simulation Research, Institute for Quantitative Biomedicine, and Department of Chemistry and Chemical Biology, Rutgers University, Piscataway 08854, New Jersey, United ...
Download the full document here: No. 25-987, Multi-Domain Operations Range Guide for Company Grade through Field Grade Leaders (Apr 25) [PDF - 4.1 MB] Multi-Domain Operational (MDO) lessons learned ...
The host microbiome is integral to metabolism, immune function, and resilience against pathogens. However, reliance on relative abundance (RA) to estimate host-associated microbiomes introduces ...
Abstract: Feature-based domain adaptation methods project samples from different domains into the same feature space and try to align the distribution of two domains to learn an effective transferable ...
A Missouri Democratic Senate candidate — and Marine vet — who often smugly touts his gun safety expertise online is being viciously mocked after a journalist was struck by a stray bullet fragment ...
Heart rate variability (HRV) is a widely studied physiological phenomenon that mirrors the interplay between the sympathetic and parasympathetic divisions of the autonomic nervous system (ANS) ...
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