Multi-Stage Graph Peeling Algorithm for Probabilistic Core Decomposition

no code implementations • 13 Aug 2021 • Yang Guo, Xuekui Zhang, Fatemeh Esfahani, Venkatesh Srinivasan, Alex Thomo, Li Xing

To make the previous PA focus more on dense subgraphs, we propose a multi-stage graph peeling algorithm (M-PA) that has a two-stage data screening procedure added before the previous PA. After removing vertices from the graph based on the user-defined thresholds, we can reduce the graph complexity largely and without affecting the vertices in subgraphs that we are interested in.

SCC: Automatic Classification of Code Snippets

1 code implementation • 21 Sep 2018 • Kamel Alreshedy, Dhanush Dharmaretnam, Daniel M. German, Venkatesh Srinivasan, T. Aaron Gulliver

Determining the programming language of a source code file has been considered in the research community; it has been shown that Machine Learning (ML) and Natural Language Processing (NLP) algorithms can be effective in identifying the programming language of source code files.

Classification Code Classification +1

Predicting the Programming Language of Questions and Snippets of StackOverflow Using Natural Language Processing

no code implementations • 21 Sep 2018 • Kamel Alreshedy, Dhanush Dharmaretnam, Daniel M. German, Venkatesh Srinivasan, T. Aaron Gulliver

The classifier achieves an accuracy of 91. 1% in predicting the 24 most popular programming languages by combining features from the title, body and the code snippets of the question.

BIG-bench Machine Learning TAG