Tag: Graph Representation Learning
All the talks with the tag "Graph Representation Learning".
Class-Imbalanced Learning on Graphs - A Survey
Rishav DasPublished: at 02:00 PMThis survey provides a comprehensive understanding of class-imbalanced learning on graphs (CILG), a promising solution that combines graph representation learning and class-imbalanced learning. It presents a taxonomy of existing work, analyzes recent advancements, and discusses future research directions in CILG.
Handling Missing Data with Graph Representation Learning
Rucha Bhalchandra JoshiPublished: at 07:00 PMIn this talk, we will look at a paper that proposes a graph-based framework for feature imputation as well as label prediction, called GRAPE.