Learn how security graphs map environments and relationships to provide advanced security insights. A security graph is a connected map that shows how users, devices, and activities interact. It ...

Graphs are everywhere. From technology to finance, they often model valuable information such as people, networks, biological pathways and more. Often, scientists and technologists need to come up ...

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 ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

So, you wanna get good at LeetCode, huh? It’s a big world of problems out there, and it can feel pretty wild when you’re just starting. But don’t sweat it. We’re gonna walk through how to actually get ...

Abstract: Control flow graph models program execution paths and is essential for program analysis and compiler optimizations. Compilers traverse thousands of graphs during compilation, thus, efficient ...

Abstract: We demonstrate MITra, a system for synthesizing Multi-Instance graph Traversal algorithms that traverse from multiple source vertices simultaneously over a single thread. Underlying MITra is ...

This article introduces a model-based design, implementation, deployment, and execution methodology, with tools supporting the systematic composition of algorithms from generic and domain-specific ...

Graph theory is an integral component of algorithm design that underlies sparse matrices, relational databases, and networks. Improving the performance of graph algorithms has direct implications to ...

While retrieval-augmented generation is effective for simpler queries, advanced reasoning questions require deeper connections between information that exist across documents. They require a knowledge ...