graph shift operator
Data
subject:: Data Science Methods for Large Scale Graphs
parent:: Graph Signals and Graph Signal Processing
theme:: Digital Garden/Math Notes
Graph Shift Opterator
We can define more general diffusion processes by defining the matrix
(can only equal 0 along the diagonal?)
This matrix is called the graph shift operator (GSO). We way
The most common operators are the adjacency matrix and the graph laplacian
Note that we can always recover the local implementations:
Examples of Graph Shift Operators
- adjacency matrix
- degree matrix
- graph laplacian
- random walk matrix
- random walk laplacian
- normalized adjacency matrix
- normalized graph laplacian
Note
We usually don't use the last 3 with directed graphs.