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 ...
GitHub

Icinga Web Performance Data Graphs

Icinga Web Module for Performance Data Graphs. This module enables graphs on the Host and Service Detail View for the respective performance data. The data is fetched by a "backend module", at least ...
IEEE

Semi-Supervised Graph Structure Learning via Dual Reinforcement of Label and Prior Structure

Abstract: Graph neural networks (GNNs) have achieved considerable success in dealing with graph-structured data by the message-passing mechanism. Actually, this mechanism relies on a fundamental ...
Forbes

Using Agents To Intelligently Traverse Graph-Based Data Structures

Graphs are everywhere. From technology to finance, they often model valuable information such as people, networks, biological pathways and more. Often, scientists and technologists need to come up ...
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 ...