New Architecture for GNN Hand-Drawn Sketch Recognition: Multi-Graph Transformer Network

New Architecture for GNN Hand-Drawn Sketch Recognition: Multi-Graph Transformer Network

Click I Love Computer Vision to star and get faster access to new CVML technologies This article introduces a relatively niche but very interesting new paper on hand-drawn sketch recognition “Multi-Graph Transformer for Free-Hand Sketch Recognition”, which essentially proposes a novel Transformer network. Author information: All authors are from Nanyang Technological University. I. Research Motivation … Read more

GATE: Real-Time Edge Construction Graph Attention Neural Network for Robust Indoor Positioning Based on Mobile Embedded Devices

GATE: Real-Time Edge Construction Graph Attention Neural Network for Robust Indoor Positioning Based on Mobile Embedded Devices

📌 1. Research Background and Challenges 1.1 Importance of Indoor Positioning Application Scenarios: Smart homes, AR/VR, robotic navigation, emergency rescue, etc. Market Value: The global market size will reach $11.9 billion by 2024, continuing to grow. 1.2 Advantages and Challenges of Wi-Fi RSS Fingerprint Positioning Advantages: No additional hardware required, good compatibility, low deployment costs. … Read more

Installing PyTorch Geometric Toolkit

Installing PyTorch Geometric Toolkit

Click the blue text above to follow us! To learn GNN, you will definitely use the torch_geometric package. PyG (PyTorch Geometric) is a library built on PyTorch that allows easy writing and training of Graph Neural Networks (GNNs), suitable for various applications related to structured data. A GCNConv can be easily called with just one … Read more

Quality Control of Environmental Sensor Networks Using GNN

Quality Control of Environmental Sensor Networks Using GNN

Focus onEarth andHumanArtificial Intelligence,SetEarthAi Star Quality Control of Environmental Sensor Networks Using Graph Neural Networks DOI: https://doi.org/10.1175/AIES-D-24-0032.1 Research Background Environmental sensor networks play a crucial role in monitoring key parameters of the Earth system. Effective quality control (QC) measures are essential to ensure the reliability and accuracy of the collected data. Traditional QC methods struggle … Read more