Graph Representation Learning via Aggregation Enhancement

2 code implementations • 30 Jan 2022 • Maxim Fishman, Chaim Baskin, Evgenii Zheltonozhskii, Almog David, Ron Banner, Avi Mendelson

Graph neural networks (GNNs) have become a powerful tool for processing graph-structured data but still face challenges in effectively aggregating and propagating information between layers, which limits their performance.

Data Augmentation Graph Representation Learning +3