CoCoGUM: Contextual Code Summarization with Multi-Relational GNN on UMLs

By Yanlin Wang, Lun Du, Ensheng Shi, Yuxuan Hu, Shi Han, Dongmei Zhang. 2020

24 citations recorded by the source corpus.

Subfields: Graph Learning, Code Generation & Program Synthesis

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Graph Learning

1. Ge Li
2. Duyu Tang
3. Nan Duan

In Code Generation & Program Synthesis

1. Ge Li
2. Nan Duan
3. Daya Guo
4. Neel Sundaresan
5. Shao Kun Deng
6. Colin B. Clement
7. Shengyu Fu
8. Michele Tufano

Citations in the corpus

• CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation (2021, background): “• code-code (clone detection [65, 84, 46, 80, 9, 89, 86], defect detection [91, 55, 51, 42, 78, 79], cloze test [15], code completion [57, 1, 56, 66, 67, 8, 27, 7], code repair [69, 4, 23, 26, 71, 73], and code-to-code translation [48, 37, 10, 41]) • text-code (natural language code search [32, 20, ”