OpenAI has released GPT-5.6 Sol, alongside the cheaper Terra and Luna, ending a two-week preview the Commerce Department kept ...
AI referrals are surging, volatile, and shaped by internal search, landing page fit, and Claude’s quiet rise, new data shows.
Researchers have developed AdapGNN, a novel model-agnostic framework that addresses the oversmoothing problem in graph neural ...
Abstract: Convolution on 3D point clouds is widely researched yet far from perfect in geometric deep learning. The traditional wisdom of convolution characterises feature correspondences ...
Abstract: Graph Convolutional Networks (GCNs) are widely used for skeleton-based action recognition and achieved remarkable performance. Due to the locality of graph convolution, GCNs can only utilize ...
Multi-modal Graph Convolution Network is a novel multi-modal recommendation framework based on graph convolutional networks, explicitly modeling modal-specific user preferences to enhance micro-video ...
We report a fast and easy method (PACMAN) to assign partial atomic charges on metal–organic framework (MOF) and covalent–organic framework (COF) crystal structures based on graph convolution networks ...
Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China ...
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