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

Topology-Induced Graph Transformer for Graph Representation Learning

Abstract: While Graph Neural Networks excel at graph learning, they are limited by the 1-Weisfeiler-Leman (WL) test and sensitive to structural changes. Recent work addressed the 1-WL test limitation ...
GitHub

equivstable_laplace_pos_encoder.py

"""Equivariant and Stable Laplace Positional Embedding node encoder. This encoder simply transforms the k-dim node LapPE to d-dim to be later used at the local GNN module as edge weights. empty_mask = ...
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 ...