2 papers
cs.LG2026
GeoGAE: Scalable Graph-Level Autoencoding via Hyperball Cloud Representations
Radosław Nowak, Anna Bielawska, Bogusz Stefańczyk +2
Embedding structured objects into Euclidean spaces has enabled a wide range of successful machine learning applications. Such objects include words, documents, image patches, time…
cs.SI2024
Graph Vertex Embeddings: Distance, Regularization and Community Detection
Radosław Nowak, Adam Małkowski, Daniel Cieślak +2
Graph embeddings have emerged as a powerful tool for representing complex network structures in a low-dimensional space, enabling the use of efficient methods that employ the metri…