IEEE

Resilient Temporal Graph Convolutional Network for Smart Grid State Estimation Under Topology Inaccuracies

Abstract: Dynamic State Estimation is a crucial task in power systems. Graph Neural Networks have demonstrated significant potential in dynamic state estimation, for power systems by effectively ...
IEEE

Deep Graph Convolutional Neural Network based on Adaptive Sampling and Aggregation Strategy

Abstract: Graph neural networks learn node embeddings by recursively sampling and aggregating nodes in a graph, while existing methods have a fixed pattern of node sampling and aggregation, and ...
Analytics Insight

Best Neural Networks Courses in 2026 for AI and Deep Learning

Overview Neural networks courses in 2026 focus heavily on practical deep learning frameworks such as TensorFlow, PyTorch, and Keras.Growing demand for AI profes ...
Analytics Insight

Best PyTorch Courses to Learn Deep Learning in 2026

PyTorch is one of the most popular tools for building AI and deep learning models in 2026.The best PyTorch courses teach both basic concept ...