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stat.ME2024
Multiple Network Embedding for Anomaly Detection in Time Series of Graphs
Guodong Chen, Jesús Arroyo, Avanti Athreya +7
This paper considers the graph signal processing problem of anomaly detection in time series of graphs. We examine two related, complementary inference tasks: the detection of anom…
stat.ME2024
Community Correlations and Testing Independence Between Binary Graphs
Cencheng Shen, Jesüs Arroyo, Junhao Xiong +1
Graph data has a unique structure that deviates from standard data assumptions, often necessitating modifications to existing methods or the development of new ones to ensure valid…
stat.ME2024
Discovering the Signal Subgraph: An Iterative Screening Approach on Graphs
Cencheng Shen, Shangsi Wang, Alexandra Badea +2
Supervised learning on graphs is a challenging task due to the high dimensionality and inherent structural dependencies in the data, where each edge depends on a pair of vertices.…