GitHub

Physics-Informed Graph Attention Network with Temporal Convolutional Encoder for Multi-Node Distribution Grid State Forecasting under Solar PV Uncertainty

There's not enough diversity for attention to learn meaningful patterns Uniform averaging is near-optimal when all neighbors matter equally Attention adds noise rather than extracting signal Despite ...
IEEE

Hyperspectral Image Classification via Dynamic Adaptive Graph Convolutional Network

Abstract: A dynamic graph convolutional network (DGCN) can represent temporal evolutionary features. Its compatibility with the spectral-dimensional characteristics of hyperspectral images (HSIs), ...
IEEE

Novel Dual-Stream Fusion Graph Convolutional Network for Industrial process Fault Diagnosis

Abstract: Fault diagnosis for high-dimensional industrial process data with strong nonlinear coupling remains challenging. Most existing graph convolutional network–based methods rely on static or ...
VentureBeat

Pinterest Labs created a graph convolutional network for better Pin recommendations

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Pinterest today shared details about how it created PinSage, a graph ...
GitHub

cuda_graph_for_multi_modal_encoder.md

In multimodal reasoning services, the visual encoder (ViT / Vision Transformer) typically has a few characteristic traits: Many layers, fragmented operators: Each layer includes LN, QKV projections, ...