The final, formatted version of the article will be published soon. Background Biomedical knowledge graphs (KGs), such as the Data Distillery Knowledge Graph (DDKG), capture known relationships among ...

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 ...

Abstract: Graph contrastive learning is usually performed by first conducting Graph Data Augmentation (GDA) and then employing a contrastive learning pipeline to train GNNs. As we know that GDA is an ...

Large Language Models (LLMs) have set new benchmarks in natural language processing, but their tendency for hallucination—generating inaccurate outputs—remains a critical issue for knowledge-intensive ...

WIDEFIELD, Colo. (KRDO)-- Widefield School District 3 is asking for measures that will make the school more comfortable for students and replace outdated appliances around their buildings. There are ...

Abstract: This paper presents a novel approach to graph learning, GL-AR, which leverages estimated autoregressive coefficients to recover undirected graph structures from time-series graph signals ...

CRYSTAL LAKE, Ill. — Women who own or manage farmland or who have an interest in farming are invited to a Learning Circle hosted by The Land Conservancy of McHenry County. The Learning Circle will be ...

Women who own or manage farmland or who have an interest in farming are invited to a Learning Circle hosted by The Land Conservancy of McHenry County. The Learning Circle will be held Tuesday, June 17 ...