AI-powered knowledge graph links heart images to genes and drug predictions

Knowledge graphs are a powerful tool for bringing together information from biological databases and linking what is already ...
GitHub

A Python package that automatically generates and updates dataclasses from ISO20022 schemas daily, making it easy to integrate and validate financial message data.

python-iso20022/ ├── .github/workflows # CI/CD workflows ├── python_iso20022/ # Top-level package directory │ ├── acmt/ # Example of a message set directory │ │ ├── acmt_001_001_08/ # Directory for a ...
GitHub

Official repository for the paper "Learning Latent Graph Structures and Their Uncertainty" (ICML 2025)

This repository contains a refactoring of the code used in the paper "Learning Latent Graph Structures and Their Uncertainty" (ICML 2025). The code is designed to be modular and easy to use, allowing ...
IEEE

Enhancing Graph Structure Learning via Motif-Driven Hypergraph Construction

Abstract: Graph neural networks (GNNs), as a cutting-edge technology in deep learning, perform particularly well in various tasks that process graph structure data. However, their foundation on ...
IEEE

Autoencoder-Augmented Graph Neural Networks for Accurate and Scalable Structure Recognition in Analog/Mixed-Signal Schematics

Abstract: The increasing complexity of Analog/Mixed-Signal (AMS) schematics has been posing significant challenges in structure recognition, particularly in the intellectual property (IP) industry, ...