HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification

no code implementations • 19 Aug 2020 • Rahul Ragesh, Sundararajan Sellamanickam, Arun Iyer, Ram Bairi, Vijay Lingam

We consider the problem of learning efficient and inductive graph convolutional networks for text classification with a large number of examples and features.

General Classification Graph Embedding +2

Using Large-scale Heterogeneous Graph Representation Learning for Code Review Recommendations at Microsoft

no code implementations • 4 Feb 2022 • Jiyang Zhang, Chandra Maddila, Ram Bairi, Christian Bird, Ujjwal Raizada, Apoorva Agrawal, Yamini Jhawar, Kim Herzig, Arie van Deursen

Code review is an integral part of any mature software development process, and identifying the best reviewer for a code change is a well-accepted problem within the software engineering community.

Graph Representation Learning Management +1