👉 Walks computing is a data processing technique used to analyze sequences of events or states over time, such as in natural language processing, computer vision, and time-series analysis. It involves generating a sequence of "walks" or paths through a graph or sequence of data points, where each walk represents a possible sequence of actions or states. Each step in a walk is determined by a set of rules or constraints, such as moving from one node to another based on specific patterns or features. These walks are then used to capture the temporal dynamics and dependencies within the data, enabling tasks like language modeling, video understanding, and anomaly detection. By exploring the space of possible sequences, walks computing provides a powerful framework for understanding complex temporal relationships and generating contextually relevant outputs.
