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 ...
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, ...
IEEE

Variational Graph Neural Network Based on Normalizing Flows

Abstract: Graph Neural Networks (GNNs) have recently achieved significant success in processing non-Euclidean datasets, such as social and protein-protein interaction networks. However, these datasets ...