IEEE

Weighted Feature Fusion of Convolutional Neural Network and Graph Attention Network for Hyperspectral Image Classification

Abstract: Convolutional Neural Networks (CNN) and Graph Neural Networks (GNN), such as Graph Attention Networks (GAT), are two classic neural network models, which are applied to the processing of ...
InfoWorld

7 newer data science tools you should be using with Python

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your ...
Semiconductor Engineering

ONNX And Python To C++: State-Of-The-Art Graph Compilation

How a NPU programming model can boost the ability to port new models onto state-of-the-art embedded silicon.
GitHub

GMatch4py a graph matching library for Python

GMatch4py is a library dedicated to graph matching. Graph structure are stored in NetworkX graph objects. GMatch4py algorithms were implemented with Cython to enhance performance.
IEEE

Visual Analysis of Multi-Outcome Causal Graphs

Abstract: We introduce a visual analysis method for multiple causal graphs with different outcome variables, namely, multi-outcome causal graphs. Multi-outcome causal graphs are important in ...
Mediaite

‘Idiocracy’: Trump Aide Mocked For Sharing Graph on Far-Left Versus Far-Right Violence

White House Deputy Press Secretary Abigail Jackson sparked a bevy of mockery over the weekend when she shared a graph from Axios highlighting the increase of left-wing violence this year, but that ...