Dynamic graph algorithms and data structures represent a vital research frontier in computer science, underpinning applications from network analysis to real-time system monitoring.

Graphs are everywhere. In discrete mathematics, they are structures that show the connections between points, much like a public transportation network. Mathematicians have long sought to develop ...

practical hints for GNNs, relation to approximate graph isomorphism tests, R-convolution framework, graph kernels based on bag of structures and information diffusion, generative graph models: ...

Graphs naturally generalize unstructured vectorial data and structured data such as time series, images or bags of entities. The goal of this course is to provide an overview of the fundamental ...

Description The design, implementation, and analysis of abstract data types, data structures and their algorithms. Topics include: data and procedural abstraction, amortized data structures, trees and ...

The subgraph isomorphism algorithm plays a key role in this process. With this algorithm, MicroAlgo efficiently identifies subgraph structures within the circuit and uses graph matching techniques to ...