IEEE

Hyperspectral Image Classification Based on Deep Attention Graph Convolutional Network

Abstract: Hyperspectral images (HSIs) have gained high spectral resolution due to recent advances in spectral imaging technologies. This incurs problems, such as an increased data scale and an ...
IEEE

Enhanced Adjacency-Constrained Hierarchical Clustering Using Fine-Grained Pseudo Labels

Abstract: Hierarchical clustering is able to provide partitions of different granularity levels. However, most existing hierarchical clustering techniques perform clustering in the original feature ...
GitHub

AAAI-2021 Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting

This is the MXNet implementation of STFGNN in the paper: [Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting, AAAI 2021] (https://arxiv.org ...
GitHub

DeepDrawing: A Deep Learning Approach to Graph Drawing

This is the code repository for our IEEE VIS19 Paper entitled "DeepDrawing: A Deep Learning Approach to Graph Drawing". We propose a deep learning based approach to learn from existing graph drawings ...
Forbes

7 Organizational Structure Types (With Examples)

In his decades-long career in tech journalism, Dennis has written about nearly every type of hardware and software. He was a founding editor of Ziff Davis’ Computer Select in the 1990s, senior ...