Abstract: Graphs are widely used to model relational data in various domains, including social media, e-commerce, telecommunications, and finance. Graph analytics is one of the most popular techniques ...

In this tutorial, we implement a production-grade, large-scale graph analytics pipeline in NetworKit, focusing on speed, memory efficiency, and version-safe APIs in NetworKit 11.2.1. We generate a ...

Context graphs is the new buzzword for agentic Systems of Knowledge, uncovering the key role of the tribal knowledge hidden in decision threads that inform enterprise activity. More than a year ago, ...

Abstract: Identifying structures in common forms the basis for networked systems design and optimization. However, real structures represented by graphs are often of varying sizes, leading to the low ...

Tomorrow’s UFC 325 card has lost a matchup after one fighter blatantly tried to make himself seem lighter when he stepped on the scale to weigh-in. After the UFC returned from a six-week hiatus and ...

The University of Tennessee is hosting a large-scale active shooter training exercise today. The training will take place late this morning at Rocky Top Dining on Andy Holt Avenue. Rocky Top Dining ...

Graph database maker Neo4j Inc. today launched Infinigraph, calling it a significant advancement in distributed graph technology. The company said the architecture allows users to run both operational ...

CEO Sam Altman called a strange graph in its GPT-5 presentation a ‘mega chart screwup.’ CEO Sam Altman called a strange graph in its GPT-5 presentation a ‘mega chart screwup.’ is a senior reporter ...

We evaluate two representative tensor compiler backends, CINN (PaddlePaddle) and TorchInductor (PyTorch), on GraphNet's NLP and CV subsets. The evaluation adopts two quantitative metrics proposed in ...

Alliant is making good on its plans to build a modern, data-driven marketing platform through M&A. The audience platform announced Monday that it’s acquiring data insights and analytics company ...