Abstract: The ICSE 2021 paper titled “PyCG: Practical Call Graph Generation in Python” comes with a replication package with the purpose of providing open access to (1) our prototype call graph ...

Fraud has always been an inevitable and recurring issue in various sectors, including finance, healthcare, and e-commerce, causing significant financial losses and reputational damage to organizations ...

Before installation, it’s crucial to understand that Microsoft Graph is a RESTful web API that integrates various Microsoft services. You only need to authenticate once to access data across these ...

Python simulation of the London Underground network that finds the fastest route between stations using weighted graph algorithms. Includes dynamic connections and optimization for travel time and ...

Getting a handle on LeetCode can feel like a big task, especially when you’re starting out. But with the right approach and tools, it becomes much more manageable. Python, with its clear syntax and ...

Nigel Drego, Co-founder and Chief Technology Officer at Quadric, presented the “ONNX and Python to C++: State-of-the-art Graph Compilation” tutorial at this year’s Embedded Vision Summit. Quadric’s ...

Broadband Forum’s Member Pavilion at NetworkX 2025 will host a series of showcases, demonstrating how industry standards are transformed into real-world broadband solutions. A highlight is the first ...

Graphs and data visualizations are all around us—charting our steps, our election results, our favorite sports teams’ stats, and trends across our world. But too often, people glance at a graph ...

Microsoft Corp. today is expanding its Fabric data platform with the addition of native graph database and geospatial mapping capabilities, saying the enhancements enhance Fabric’s capacity to power ...

A new MCP Server for Fabric has also been added to enable developers to connect agents to Fabric’s ecosystem to accelerate tasks, such as creating a data pipeline or notebook. Microsoft is adding two ...

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...