Wavelet-Enhanced Mamba and Graph Networks Revolutionize Time Series Anomaly Detection
Researchers in Beijing have unveiled a wavelet-enhanced model combining Mamba sequence modeling and graph neural networks that outperforms prevailing methods ...
Researchers in Beijing have unveiled a wavelet-enhanced model combining Mamba sequence modeling and graph neural networks that outperforms prevailing methods ...
Researchers have built a geometry problem solver that turns diagrams into heterogeneous graphs and aligns them with text, outperforming existing ...
Researchers have developed DFDM, a diffusion model that dynamically fuses local spatial and global spectral graph representations to generate chemically ...
A new dual-graph deep learning framework called CGA-DTA conditions molecular graph topology on the binding partner and applies cross-graph attention ...
A machine-learning-driven statistical analysis of a six-metal high-entropy alloy reveals that its CO tolerance in alkaline hydrogen oxidation arises from ...
Researchers have developed scFormer, a heterogeneous graph transformer framework that identifies rare cell states in single-cell and spatial transcriptomic data ...
A new label-scarce graph AI framework reliably detects deep, subtle mineralization anomalies at the Kalatongke copper-nickel deposit using only 906 ...
A new six-stage computational framework called Protein Expression Net converts plasma proteomic ageing signatures from UK Biobank data into prioritized, ...
A geometric deep learning framework trained on finite element simulations predicts cold spray particle impact responses with R-squared values exceeding ...
Artificial intelligence has learned to taste, or at least to predict what a molecule will taste like, with remarkable accuracy. ...
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© 2025 Scienmag - Science Magazine