Three patched LangGraph flaws could let attackers chain SQL injection and unsafe deserialization for RCE in self-hosted ...
AT&T's finance team is using LangGraph-based agentic workflows to automate journal entry preparation under SOX controls, with finance-owned playbooks, node-level audit trails, and explicit human ...
Abstract: In this work, we propose a complex-valued neural operator (CV-NeuralOp) based on graph neural networks (GNNs) to solve 2-D wave equations. Inspired by Green’s function method for solving ...
Abstract: Multivariate time series forecasting requires modeling both temporal patterns and inter-series relationships. Existing methods combining graph neural networks with frequency analysis ...
Around 540 million years ago, the ocean erupted with complex life: Creatures rapidly transformed from simple, soft-bodied, ocean-floor-dwelling animals into bodies we might recognize today—animals ...
Cybersecurity researchers have disclosed three security vulnerabilities impacting LangChain and LangGraph that, if successfully exploited, could expose filesystem data, environment secrets, and ...
Karan Mahajan’s new novel, “The Complex,” tracks the fortunes of a political family in a rapidly changing India. By Jonathan Dee Jonathan Dee is the author of eight novels, most recently “Sugar Street ...
The second studio album from the biggest girl group in K-Pop is available now on Complex in multiple editions. The 15 Best K-Pop and Rap Collaborations of All Time From Jennie's electrifying duet with ...
AI agents speed up tasks while allowing people to focus on other complicated tasks. Perplexity, for instance, has caught up in this game by unveiling its newest AI agent named "Computer." The ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
Empower your projects with agentic workflows using our LangGraph-based implementation toolkit. Explore practical examples and optimize graph-based algorithms for intelligent, autonomous ...