[Presentation] Rep2Vec: Repository Embedding via Heterogeneous Graph Adversarial Contrastive Learning

[l1tok]

Title

Rep2Vec: Repository Embedding via Heterogeneous Graph Adversarial Contrastive Learning

Link

https://dl.acm.org/doi/abs/10.1145/3534678.3539324

Year

2022

Author and affiliation

Yiyue Qian University of Notre Dame South Bend, Indiana, USA Yiming Zhang Case Western Reserve University Cleveland, Ohio, USA Qianlong Wen University of Notre Dame South Bend, Indiana, USA Yanfang Ye∗ University of Notre Dame South Bend, Indiana, USA Chuxu Zhang∗ Brandeis University Waltham, Massachusetts, USA

Conference or Journal

KDD '22: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Rank

A

Keywords

Repository, Heterogeneous graph, Graph neural network, Self-supervised learning

Selecting Reason

No response

Supplementary

No response

[l1tok]

这篇文章关于github的研究以及下游任务的选取应该是受Repo2Vec: A Comprehensive Embedding Approach for Determining Repository Similarity的启发，链接：https://ieeexplore.ieee.org/abstract/document/9609112 。