IEEE

Topology-Aware Graph Neural Network-Based State Estimation for PMU-Unobservable Power Systems

Abstract: Traditional optimization-based techniques for time-synchronized state estimation (SE) often suffer from high online computational burden, limited phasor measurement unit (PMU) coverage, and ...
IEEE

Spatial-Spectral Contrastive Graph Neural Network for Few-Shot Hyperspectral Image Classification

Abstract: Graph Neural Networks (GNNs) have emerged as a promising solution for few-shot hyperspectral image (HSI) classification. However, existing GNN-based approaches face critical limitations in ...
XDA Developers on MSN

Apple has a sleeper advantage when it comes to local LLMs

Not only has Google's Gemini 3 model been trained on the company's own TPUs, but I've been using a MacBook Pro with Apple's M4 Pro chip for almost a year, and in that time, I've come to find the ...
GitHub

Event-Driven Spiking Neural Network Accelerator for FPGA

This project implements a complete event-driven spiking neural network (SNN) accelerator on FPGA with seamless PyTorch integration for training and deployment. The design uses Accumulate-only (AC) ...
GitHub

hlh-syd/G-transformer_Networks

This repository is the implementation of Graph Transformer Networks(GTN) and Fast Graph Transformer Networks with Non-local Operations (FastGTN). Seongjun Yun, Minbyul Jeong, Raehyun Kim, Jaewoo Kang, ...