In 2026, Facebook’s algorithm is prioritizing short-form video, with Reels emerging as the key driver of discovery and engagement. Creators who lean into this format can connect with audiences far ...

Abstract: Deep-learning is widely used in modulation classification to reduce labor and improve the efficiency. Graph convolutional network (GCN) is a type of feature extraction network for graph data ...

Shortest path algorithms like Dijkstra, BFS, and advanced approximations power everything from Google Maps to network routing. Understanding when and how to apply them can save time and resources in ...

Git isn't hard to learn, and when you combine Git and GitHub, you've just made the learning process significantly easier. This two-hour Git and GitHub video tutorial shows you how to get started with ...

Abstract: This paper focuses on the integration of Graph Convolution Network and Graph Attention Network, two cutting-edge models in graph neural networks, aiming to explore a new paradigm of graph ...

The graph theory is an old subject and nowadays it has become a method widely used in various fields of mathematics, computer science, engineering, chemistry, among others. Its application ranges from ...