Abstract: Graphs are ubiquitous for modeling complex systems involving structured data and relationships. Consequently, graph representation learning, which aims to automatically learn low-dimensional ...

1 Department of Computer Science, The University of Alabama at Birmingham, Birmingham, AL, United States 2 Department of Computer Science, Washington University in St. Louis, St. Louis, MO, United ...

Many successful machine learning models for molecular property prediction rely on Lewis structure representations, commonly encoded as SMILES strings. However, a key limitation arises with molecules ...

Graphs and data visualizations are all around us—charting our steps, our election results, our favorite sports teams’ stats, and trends across our world. But too often, people glance at a graph ...

The west side of the Douglas County Courthouse, 1100 Massachusetts St. Douglas County commissioners will hear a proposal this week for a tenants’ right to counsel program that would guarantee legal ...

Neo4j, the graph database from the US-Swedish company of the same name, is used by 76% of the Fortune 100, and its Australian customers include organisations in the healthcare, policing and banking ...

In this tutorial, we’ll show how to create a Knowledge Graph from an unstructured document using an LLM. While traditional NLP methods have been used for extracting entities and relationships, Large ...

Abstract: Graph neural networks (GNNs) have achieved remarkable success in learning graph representations, especially graph Transformers, which have recently shown superior performance on various ...

What if you could transform vast amounts of unstructured text into a living, breathing map of knowledge—one that not only organizes information but reveals hidden connections you never knew existed?

The growing availability of spatial transcriptomics data offers key resources for annotating query datasets using reference datasets. However, batch effects, unbalanced reference annotations, and ...

A platform for developers and researchers to explore and extend the Tangled Program Graphs reinforcement learning framework. Tangled Program Graphs (TPG) is a novel reinforcement learning framework ...