Adapting to the Stream: An Instance-Attention GNN Method for Irregular Multivariate Time Series Data
DynIMTS replaces static graphs with instance-attention that updates edge weights on the fly, delivering SOTA imputation and P12 classification ...
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Why developers still use TensorFlow - in 100 seconds
TensorFlow is an open-source machine learning framework built by Google, and this 100-second video explains how it works from ...
Beijing, Jan. 05, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning ...
MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...
Explore the best AI cryptocurrencies in 2026, including established leaders and emerging projects building decentralized AI, ...
If you're struggling with math, these best math AI tools can help you solve those complex problems and equations with ease.
With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green ...
A decorated UVA engineer collects early-career honors for his leadership and contributions to the data mining field.
Accurate smartphone positioning in dense urban environments remains challenging due to signal blockage, multipath effects, and unreliable satellite visibility. This study presents a new positioning ...
Abstract: Graph representation learning is an emerging area for graph analysis and inference. However, existing approaches for large-scale graphs either sample nodes in sequential walks or manipulate ...
AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...
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