Strike Graph Selected for AWS and Meta’s Exclusive “Building with Llama” Startup Program to Shape the Future of AI in Compliance and Trust Strike Graph was chosen among the top 3% of startups ...

What if you could transform overwhelming, disconnected datasets into a living, breathing map of relationships, one that not only organizes your data but also reveals insights you didn’t even know you ...

Abstract: In the field of graph self-supervised learning (GSSL), graph autoencoders and graph contrastive learning are two mainstream methods. Graph autoencoders aim to learn representations by ...

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 ...

Tribeca Studios has launched a new incubator program, which aims to empower rising filmmakers to more earnestly portray diseases and health-related stories on-screen. Tribeca created the program with ...

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...

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 ...

Introduction: Predicting interactions between microRNAs (miRNAs) and messenger RNAs (mRNAs) is crucial for understanding gene expression regulation mechanisms and their roles in diseases. Existing ...

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?