Abstract: Graph signal processing has become an essential tool for analyzing data structured on irregular domains. While conventional graph shift operators (GSOs) are effective for certain tasks, they ...

Abstract: Accurate short-term traffic flow forecasting is essential for intelligent transportation systems (ITS) and urban operations. However, most graph neural network (GNN) approaches rely on ...

An interactive web-based tool for visualizing and understanding various graph algorithms. This application provides real-time visualization of graph traversal, shortest path, and minimum spanning tree ...

A production-grade algorithmic trading system combining particle filters, graph-based ecosystem modeling, RAG-grounded LLM research agents, and NLP news pipelines for NIFTY 50 swing trading (3-20 day ...