… Some existing methods … based on graph structure without using any attributes. In terms
of variance, the standard deviations of our methods tend to be on-par with graph kernel based …

… In this paper, the proposed method is evaluated subject to four different metrics, which are
overall accuracy, … The performance metrics are defined based on the following definitions: …

… for pragmatic call graph generation in Python. Our method performs inter-procedural analysis
on an … Table V presents the time and memory performance metrics of the three tools. The …

… vertices in a graph (see [9… methods for measuring distances between two graphs; to introduce
the matrix distances, we begin by focusing on methods for measuring distances on a graph…

… Graph Convolutional Network (GCN) based algorithm to obtain vector representations of
E-FCGs. Extensive experiments show that the features learned by our method … to all the metrics. …

… -based detection methods for software bugs or vulnerabilities [3]–[6], [15], [16], and five SOTA
methods … We report the geometric mean of the aforementioned evaluation metrics across …

… In this paper, we present a graph-based method to perform root cause analysis (RCA) in …
type, while with our graph-based approach, we also consider the metrics and connections of the …

… Malware API call graph derived from API call sequences is considered as a representative …
, we will use two additional evaluation metrics. The other metrics are inspired by the confusion …

… Our proposed method is more efficient as we obtained better scores on all the evaluation …
Our proposed method is more efficient as we get better scores on evaluation metrics. …

… as expressive graph structures such as Function Call Graphs (… , we describe the analysis
methods and graph structures … In this paper, Performance metrics are defined such that the …