Weighted flow diffusion for local graph clustering with node attributes: an algorithm and statistical guarantees
S Yang, K Fountoulakis - International Conference on …, 2023 - proceedings.mlr.press
Local graph clustering methods aim to detect small clusters in very large graphs without the
need to process the whole graph. They are fundamental and scalable tools for a wide range …
need to process the whole graph. They are fundamental and scalable tools for a wide range …
NetMix2: Unifying network propagation and altered subnetworks
A standard paradigm in computational biology is to use interaction networks to analyze high-
throughput biological data. Two common approaches for leveraging interaction networks …
throughput biological data. Two common approaches for leveraging interaction networks …
NetMix2: A Principled Network Propagation Algorithm for Identifying Altered Subnetworks
A standard paradigm in computational biology is to leverage interaction networks as prior
knowledge in analyzing high-throughput biological data, where the data give a score for …
knowledge in analyzing high-throughput biological data, where the data give a score for …
Calibrated nonparametric scan statistics for anomalous pattern detection in graphs
We propose a new approach, the calibrated nonparametric scan statistic (CNSS), for more
accurate detection of anomalous patterns in large-scale, real-world graphs. Scan statistics …
accurate detection of anomalous patterns in large-scale, real-world graphs. Scan statistics …