Attribute Fusion in a Latent Process Model for Time Series of Graphs
Attribute Fusion in a Latent Process Model for Time Series of Graphs
Hypothesis testing on time series of attributed graphs has applications in diverse areas, e.g., social network analysis (wherein vertices represent individual actors or organizations), connectome inference (wherein vertices are neurons or brain regions) and text processing (wherein vertices represent authors or documents). We consider the problem of anomaly/change point detection …