Neural Architectures for Searching Subgraph Structures
Radin Hamidi Rad · 2023
With the development of new neural network architectures for graph learning in recent years, the use of graphs to store, represent and process data become more trendy. Nowadays, graphs as a rich structured form of data representation are used in many real-world projects. In these projects, objects are often defined in terms of their connections to other things. There are many practical applications in areas such as antibacterial discovery, physics simulations, fake news detection, traffic prediction and recommendation systems.