Picking a JavaScript framework in 2026 is not the casual decision it was a decade ago. The framework you choose today will ...

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: ...

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 ...

Abstract: Blockchain phishing scams cause billions in annual losses, yet extreme data imbalance severely hampers existing detection algorithms. Current dynamic graph generation methods fragment ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

Sara Waisglass, star of the new rom-com How to Lose a Popularity contest (alongside Chase Hudson), knows for sure that her character Ellie would not be friends with Maxine Baker, the scene-stealing ...

Effective task allocation has become a critical challenge for multi-robot systems operating in dynamic environments like search and rescue. Traditional methods, often based on static data and ...

Abstract: In this work, we focus on the task of learning the promising graph for clustering and present a novel Tensorized Graph Learning (TGL) framework, which synergizes the neighbor and ...

JavaScript’s low bar to entry has resulted in one of the richest programming language ecosystems in the world. This month’s report celebrates the bounty, while also highlighting a recent example of ...

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 ...

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 ...