Tech Xplore

New graph attention network models higher-order relationships in complex graph data

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
GitHub

Multimodal Emotion Recognition in Conversations via Graph Structure Learning

Python 3.10.13 PyTorch 1.13.0 torch_geometric 2.5.2 torch-cluster 1.6.1 torch-scatter 2.1.1 torch-sparse 0.6.17 torch-spline-conv 1.2.2 sparsemax 0.1.9 CUDA 11.7 Train RIGSL using the MELD dataset.
IEEE

Distributed Graph Learning From Smooth Data: A Bayesian Framework

Abstract: The emerging field of graph learning, which aims to learn reasonable graph structures from data, plays a vital role in Graph Signal Processing (GSP) and finds applications in various data ...
InfoQ

Virtual Panel - AI in the Trenches: How Developers Are Rewriting the Software Process

This virtual panel brings together engineers, architects, and technical leaders to explore how AI is changing the landscape ...

GATE data science & AI important questions 2026

GATE Data Science & Artificial Intelligence (DA) Important Questions: GATE Data Science & Artificial Intelligence (DA) ...
GitHub

Task Manager PRO — Production-Grade Task Management System

Task Manager PRO is a production-grade distributed task management system combining a Python CLI tool with a modern REST API. It demonstrates mastery of full-stack development: SQLAlchemy ORM, FastAPI ...

10 Clever Microsoft Excel Tricks to Use in 2026

Once data is loaded into Excel, Copilot allows users to ask questions in natural language instead of building new formulas.
IEEE

Fusion Graph Structure Learning-Based Multivariate Time Series Anomaly Detection With Structured Prior Knowledge

Abstract: Multivariate time series anomaly detection (MTSAD) plays a crucial role in the Internet of Things (IoT) to identify device malfunction or system attacks. Graph neural networks (GNN) are ...