Table 2.

Feature definition and explanation for graph features.

Feature Name	Explanation
Centrality_PageRank	Measuring the importance of a node by other important nodes connected to it
Centrality_NodeBetweenness	Measuring the centrality of a node using the number of shortest paths that pass through this node
Centrality_EdgeBetweenness	Measuring the centrality of an edge using the number of shortest paths that pass through this edge
Centrality_CentralPointDomiance	Calculating the central point dominance given the betweenness of each node
Topology_MaxCardinality	Finding the maximum subset of a graph such that no two edges share a common node.
NodeDegree	Node degree for each node
EdgeDistance	Distance between each pair of connected nodes
Spectral_Laplacian	Laplacian matrix for this
Correlation_Assortativity	Measuring how nodes with different types tend to connect with each other
Correlation_ScalarAssortativity	Measuring how nodes with similar degrees tend to connect with each other
Clustering_Global_Coefficient	Computing clustering score of a graph using the ratio of number of triangles and number of connected triples
Clustering_TriangleCount	Number of triangles in a graph
Clustering_TripleCount	Number of connected triples in a graph