Results 241 to 250 of about 61,950 (353)
HPoolGCL: Augmentation‐Free Cross‐Granularity Graph Contrastive Learning With Hierarchical Pooling
ABSTRACT Graph contrastive learning (GCL) has emerged as a dominant paradigm for self‐supervised representation learning for attributed graph data. However, existing GCL methods heavily rely on empirical graph data augmentation, which may distort intrinsic graph semantics and produce poor generalisation without carefully chosen or designed augmentation
Fenglin Cen +4 more
wiley +1 more source
Efficiency in health care: connecting economic evaluations with implementation objectives. [PDF]
Wagner TH +3 more
europepmc +1 more source
ABSTRACT A formation inversion algorithm with real‐time performance and accuracy is crucial for natural gamma logging while drilling (LWD). However, traditional inversion algorithms are often limited by high computational resource consumption and insufficient accuracy.
Juntao Liu +4 more
wiley +1 more source
Does the trade of medical products contribute to promoting human development?-An empirical analysis based on data from China and RCEP countries. [PDF]
Wu L, Liu W, Zhou J, Zhou D, Xiao H.
europepmc +1 more source
ABSTRACT Smart energy management systems (EMS) are entering a phase of rapid transformation. Artificial intelligence (AI)—including machine learning (ML), deep learning (DL), and reinforcement learning (RL)—has become the computational backbone for real‐time forecasting, scheduling, and control of renewable‐rich power systems.
Sihai An +5 more
wiley +1 more source
Initial Stage of Nanoscale Imaging in Positive Tone Extreme UV Photoresists: The Influence of the Polymer Sequence. [PDF]
Houle FA +5 more
europepmc +1 more source

