StreamSpot: finding anomalies among a collection of streaming heterogeneous graphs
CARE: a sequential ensemble algorithm for outlier detection
HINside: ranking nodes in a heterogeneous network with node-location information
EdgeCentric: finding distributional anomalies for spotting suspicious user behavior.
TemporalOpinionSpam: event detection in multivariate indicative signals of opinion spam.
SpammerGroups: computing NFS (network footprint score) and identifying groups of spammers that target the same services within the same campaign.
GRASP-RLS: finding robust subgraphs of a given size (in Matlab).
FraudEagle: finding fake reviewers in bipartite review networks (in Matlab).
CoClusLSH: fast bottom-up (agglomerative) hierarchical co-clustering (in Matlab).
RTG: generate realistic, time-evolving, weighted graphs (in Matlab).
OddBall: spot anomalous nodes in weighted, unlabeled graphs (in Python and Matlab).
PICS: partition attributed graphs into cohesive clusters (in Matlab).
Dot2Dot: summarize (by a forest of connection trees) a set of nodes in a graph (in Matlab).
CompreX: find anomalies in categorical/numerical databases (in Matlab).