OpenAI wants its new tool to do your work for you and with you

The ChatGPT Work rollout comes alongside the debut of the new GPT-5.6 model, a new model that OpenAI promises provides ...
IEEE

Spatial Pooling Graph Convolutional Network for Hyperspectral Image Classification

Abstract: Graph convolution networks (GCNs) have been applied in a variety of fields due to their powerful ability in processing graph-like data. However, the massive number of hyperspectral pixels ...
GitHub

ID-based Graph Recommendation Framework (PyTorch)

ID-GRec is a graph recommendation framework based on Python and Pytorch, which contains the current mainstream and latest graph recommendation methods, the most classic datasets, evaluation metrics ...
GitHub

Spline-Based Convolution Operator of SplineCNN

This is a PyTorch implementation of the spline-based convolution operator of SplineCNN, as described in our paper: Matthias Fey, Jan Eric Lenssen, Frank Weichert, Heinrich Müller: SplineCNN: Fast ...
C&EN

Graph Transformer with Convolution Parallel Networks for Predicting Single and Binary Component Adsorption Performance of Metal–Organic Frameworks

Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China ...
Frontiers

Coherence based graph convolution network for motor imagery-induced EEG after spinal cord injury

Spinal cord injury (SCI) may lead to impaired motor function, autonomic nervous system dysfunction, and other dysfunctions. Brain-computer Interface (BCI) system based on motor imagery (MI) can ...
IEEE

An Effective Foveated 360° Image Assessment Based on Graph Convolution Network

Abstract: Virtual reality (VR) has been adopted in various fields such as entertainment, education, healthcare, and the military, due to its ability to provide an immersive experience to users.