Abstract: Learning bipartite graph structures from data is a fundamental yet challenging problem in graph signal processing. Unlike general graph learning (GL) methods, bipartite models are especially ...
Grafana Labs has released version 4 of its Kubernetes Monitoring Helm chart, describing it as the most significant update the ...
Armenia is hosting the first European Union summit in Yerevan. The summit on Tuesday marks a deepening of ties that's been ...
A formal ontology and labeled property graph for multi-framework business model representation, grounded in Basic Formal Ontology (BFO) and implemented in Neo4j. Companion repository for the paper: ...
Retrieval-Augmented Generation (RAG) has become a standard technique for grounding large language models in external knowledge — but the moment you move beyond plain text and start mixing in images ...
The widely used Axios HTTP client library, a JavaScript component used by developers, was recently hacked to distribute malware via a compromised account. Attackers exploited a hijacked account on npm ...
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Abstract: Various graph models have emerged to meet diverse application needs, each with unique characteristics and specialties. Managing and analyzing graph data inevitably requires interactions ...
ABSTRACT: This paper compares React, Astro and Eleventy technologies by developing a web application for analyzing Loto 6/49 and Joker draws. The application includes displaying results, statistics ...
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