From ETL workflows to real-time streaming, Python has become the go-to language for building scalable, maintainable, and high-performance data pipelines. With tools like Apache Airflow, Polars, and ...

Abstract: Graph Signal Processing (GSP) offers a structured way to model and analyze complex data networks. However, a consistent challenge in real world applications is that the underlying graph ...

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 ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

The art of finding patterns or communities plays a central role in the analysis of structured data such as networks. Community detection in graphs has become a field on its own. Real-world networks, ...

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 the easiest pieces first. But this kind of sorting has a cost.

Abstract: Vertex-frequency analysis (VFA) is a useful technique in graph signal processing to extract the correspondence between frequencies and vertices. VFA can be calculated by the windowed graph ...

Provides an execution framework where agents communicate via a JSON-based A2A protocol, workflows are defined as directed graphs, and modular operators handle computation steps. Supports both Elixir ...

Directed graphs and their afferent/efferent capacities are produced by Markov modeling of the universal cover of undirected graphs simultaneously with the calculation of volume entropy. Using these ...